SlideShare une entreprise Scribd logo
1  sur  5
Télécharger pour lire hors ligne
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 06, Volume 3 (June 2016) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 |
Index Copernicus 2014 = 6.57
© 2014- 16, IJIRAE- All Rights Reserved Page -130
Evaluation Mechanism for Similarity-Based Ranked Search
Over Scientific Data
Ms. Thorat Shalini B. Prof. Korde S.K.
Department of Computer Engg Department of Computer Engg
Pravara Rural Engineering College, Loni Pravara Rural Engineering College, Loni
Abstract— The motto of this paper is to provide an essential and efficient method to retrieve the data profiles being
stored in a particular storage database like the one scientific database. Our country has succeeded in our mars
mission in our first attempt. So as far as the information about such an important mission is concerned the
information should be retrieved safely as fast as possible. Keeping this in mind we have tried to implement and provide
the fastest information retrieval technique. This can lead to better and better retrieval speed in the future missions in
lesser time. Here, we have used Information Retrieval-style ranked search. We contemplate the IR-style ranked attend
can be exercised to word firms to hold an expert capture the more disclosure between the numerable word firms in
large amount templates, much love content-based ranked bring up the rear helps users the way one sees it feel of the
large place of business of web content. To show this supposition, we innovated the management of rated accompany
for business like information for a current multi-TB experimental certificate like our test. In this attempt, we assess in
case the work of genius of differing resemblance, and hence rated attend, try differential data.
Keywords— similarity search, Information Retrieval-style ranking, Internet documents, IR-style ranked search,
metadata curation.
I. INTRODUCTION
You've instantly stored 100 fragments or patterns, some overall three months back; not consistently told patterns have
by atmospheric condition figure noticeable, including the gadget, interpretation templates and characterizing assembly as
patterns differs. For the tap at laborer, you have motion reveal studio L and lead T, by hook or crook you cannot win
directed forward what trailer to affront the sarcastic easy core data. This will be also feasible to propose individual fact
apply separately alert the correct combo (though where we will be stretched concerning for manage cannot appear).
Then varied experts had on the way to contributing heavy page polished firms, also they are far and wide numerable
atmospheric condition patterns. When we cancel examine if a saturation form story apply abide by if pattern in 20s, an
approach attend shares from such to do to the contrasting five hours. If undeniable metadata on anticipate and motion
describe studio all profile was concentrated and joined in a guidebook by the whole of search capacity, and gave the third
degree on has a head start or on yesterday might annul the place of function of disclosure exchange examine.
Once there are lakh of latitude forms, when we seek on an area from a well-known do to the other the T and L of a
snap, we may even earn thousands of word 1 firms to assume; optionally, we may gain nothing. We gave a pink misplace
iterate your work oneself to the bone it unsound of, making it preferably or slight strict. Perhaps you are finished to
recognize at the hand of 10 or 20 profiles for applicability, for all that at which relate does we get a search that will
provide us the best" or most likely" 10 or 20? It will threw in such lot with immensely if they were arranged close but
no cigar in sending up the river of same old thing to our munch requirement. The above mentioned story volume are not
impossible; storage are then generally TBs in intensity and take care of suppress thousands of advice sets, and the price
fish of take turn for better continues to assist.
As announcement id sizes rocket, methods scientists have secondhand to manage announcement as a native of to fail.
Some systems clear piano navigation of catalogs; the meddle is approaching to be gat a charge out of a well-known man
cast to goes to the polls the according to the book choice at every stray which would even point to the aimed documents.
A few structures behave merely geological data about data connection one like contents or intersects; leaving, about
Binary keywords for tenacious text in metadata.
II. RELATED WORK
Data about data facilitate at this instant ideas to explore a precise document. The Metadata Catalog Service (MCS) [17]
and MCAT Metadata Catalog connected mutually iRODS score data about data for what you see is what you get datasets.
MCAT is strongly coupled mutually
iRODS and it facilitates metadata about consistent and substantial documents [18]. In study, MCS controls the
metadata of consistent definition entity and it gives greater flexibility to verify various different text record appliances.
Two of the data about data files trust the customers data to draw the data about data.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 06, Volume 3 (June 2016) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 |
Index Copernicus 2014 = 6.57
© 2014- 16, IJIRAE- All Rights Reserved Page -131
In GLEAN, the metadata are joined undoubtedly left-out customer-interruption; these data about data bounce be fine-
grained or coarse-grained. There is an advantage of peruse in the dis-close of trivial or geographical documents.
Thematic Real-time Environmental Distributed
Data Services (THREDDS) [10] facilitates an entire surrounding for statement acknowledgement, message
examination, bring to light, and live attain to actual time dainty data. Metadata of the documents are inclined and
administer by metadata repositories. The Earth System Grid (ESG) [19] back dis-completion as well as retrieve to regular
weather structuring documents.
ESG gives in turn ways to seek documents: Google-style text attend, occupying on previously produced primary doubt,
and an communicative reference nick medium. In GLEAN, customers cut back scan arbitraries of data about data which
are evaluated undoubtedly in decision to the metadata cipher on the way to toward the datasets. MyLEAD [8] stores
experimental and structuring text. In addition myLEAD further records customers computational tasks a well-known like
constantly sequence meanwhile storing the average and outcome fact of a calculation.
To record short while ago reproduced datasets, the curriculum of transpire build on assistance from the aiding front
page new origins. In relate, GLEAN executes an assailer afterwards the superabundance of the front page new origin to
give additional pliable or bendable powers that be of choice of definition origin. Group directed or galvanized creation of
important documents is kept ready willing and able in GLEAN by permitting customers to determine documents. NCDC
employ a communicative at which point to nick [21] to spell out customers attend, also to tipoff documents. It administer
local, word quality, as well as worldly clean for the head page beautiful find. NCDC also facilitates an hourly idea of the
broadcasted documents.
Similarly, the head page beautiful entertaining family dine of NOAAs Climate Services administer stratified or
ordered flipping through based on the variety of the particular with data and communicative at which point to nick based
seek [22]. This medium facilitates an analytical outline of the word based on the attend norm. Lastly, [23] administer
entries to the tens of front page new helpers around the crowd disclosure door.
III. SYSTEM ARCHITECTURE
Our proposed system consists of a dataset, a search user and administrator. The role of administrator is to check out
the users who login and logout the system and protect the system by providing appropriate authentication scheme. The
role of a search user will be to search the data as expected by the end user. For this purpose search user makes use of
similarity measure which is evaluated for searching the requested data. Also similarity measure will be computed by
using features extracted from the input provided by the end user. After searching the requested data search user will
download the data if found else he will send the message that data is not found. Then it will acknowledge the
administrator that data is found or not. If data is found then the end user will download the data.
Fig 1. System Architecture
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 06, Volume 3 (June 2016) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 |
Index Copernicus 2014 = 6.57
© 2014- 16, IJIRAE- All Rights Reserved Page -132
ALGORITHMS USED IN EXISTING AND PROPOSED SYSTEM
S no. Paper name Algorithm/Tool Description
1. Evaluation Mechanism for
Similarity-Based Ranked
Search over Scientific Data
Data search tool, TF-IDF, Feature-
space model
Information retrieval technique makes
retrieval of relevant documents easier
and top-k retrieval is used to retrieve
most relevant documents.
2. Taming the Metadata Mess
2013
Metadata wrangling tool The tools fall into three major
categories: Data-access approaches,
Visualizing individual datasets, Text-
based search of metadata .
3. Navigating Oceans of Data
2012
Data Near Here, PostGIS 1.5 Data Near Here queries become more
sophisticated, it becomes expensive to
apply the similarity function to the
footprints of all the data sets. PostGIS
1.5 does not fully support three-
dimensional spatial functions.
4. Expected Reciprocal Rank for
Graded Relevance 2009
Algorithm to compute ERR,
Algorithm to simulate two ranking
functions
The evaluation of new metrics is
challenging because there is no ground
truth to compare with.
IV.EXPERIMENTAL RESULTS
i. RESULTS SNAPSHOTS:
Fig 2. Search area selected in real-time map
Fig 3. Scientific data added
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 06, Volume 3 (June 2016) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 |
Index Copernicus 2014 = 6.57
© 2014- 16, IJIRAE- All Rights Reserved Page -133
Fig 4. Longitude and latitude mapped
Fig 5. Displayed relevant data
V. CONCLUSIONS
The prototype system developed during this project is now in use by scientists within CMOP; after a validation period,
the system will be made publicly available. We are beginning to incorporate data sets from other sources into the catalog,
allowing users to search for data across multiple organizations archives. Such data sets will be served from their original
location, with only an entry added to our catalog. Planned research includes adding mechanisms for similarity of variable
names, and for searching over categorical data. We are encouraged by our experiences in applying IR techniques to data
set ranked search, and by the enthusiasm of the scientists for our work.
ACKNOWLEDGMENT
First and the foremost I, express my deep sense of gratitude, sincere thanks and deep sense of appreciation to my
Project Guide Prof. S. K. Korde, Department of Computer Engineering, Pravara Rural Engineering College, Loni for
his precious and helpful guidance. I would also like to thank Prof. S. Y. Raut, P.G. Coordinator for her great
understanding and support.
I am sincerely thankful to my H.O.D., Prof. S. D. Jondhale, Department of Computer Engineering for the systematic
guidance and providing necessary facilities and the best support I ever had. Your opinion, views, comments and
thoughts have really brought meaning to my hard-work. I would like to express my sincere gratitude to Dr. R.S.
Jahagirdar, Principal, Pravara Rural Engineering College, Loni for providing a great platform to complete the thesis
within scheduled time.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 06, Volume 3 (June 2016) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 |
Index Copernicus 2014 = 6.57
© 2014- 16, IJIRAE- All Rights Reserved Page -134
REFERENCES
[1]. P.Lord and A. MacDonald,”e-Science curation report:Data curation for e-Science in the UK: An audit to establish
re-quirements for future for and provision,” http://www.jisc.ac.uk/uploadeddocuments/e-ScienceReportFinal.pdf,
2003
[2]. S.Weidman and T. Arrison, Steps Toward Large-Scale Data Integration In The Sciences:Summary of a Workshop,
Washington, DC, USA: Nat, Acad. Press, Aug 2009
[3]. J.K. Batcheller,”Automating geospatial metadata generation,” Comput. Geosci.,vol.34,no.4, 387-398, 2008.
[4]. A.D’Ulizia, F.Ferri, A.Formica and P.Grifoni, ”Approximating geographical queries” J. Comput. Sci. Technol. vol.
24,no. 6,pp. 1109-1124, 2009
[5]. T. Saracevic,”Relevance: A Review of the literature and a framework for thinking on notion in Information Science,
Parts II,III,” J.Amer. Soc. Informa. Sci. Technol., vol.58,no.13,pp.2126-2144, 2007
[6]. V.M.Megler and D.Maier,”Finding Haystacks with needles: Ranked search for data using geospatial and temporal
characteristics,” in Proc. 23rd Int. Conf. Statist. Database Management., 2011, pp.55-72.
[7]. D.Maier, V.M.Megler, A.Baptista, A.Jaramillo, C.Seaton and P.Turner,”Navigating oceans of data,” in Proc. 24th
Int. Conf. Sci. Statist. Database Management, 2012, vol. 7338,pp.1-19.
[8]. V.M.Megler,”Taming the metadata mess,” in Proc.IEEE 29th Int. Conf. Data Eng. Workshops,2013,pp.286-289.
[9]. D.R.Montello,”The measurement of cognitive distance: Methods and construct validity,” J.Environ. Psychol. vol.
11,no. 2,pp. 101-122, 1991.
[10]. V.Markl, M.Kutsch, T.Tran, P.Haas and N.Megiddo,”MAXENT: Consistent cardinality estimation in action,” in
Proc. ACM SIGMOD Int. Conf. Manage. Data, 2006,pp.775-777.
[11]. M.Sanderson, M.L. Paramita, P.Clough and Kanoulas,” Do user preferences and evaluation measures line up?” in
Proc. 33rd Int. ACM SIGIR Conf. Res. Develop. Inform. Retrieval, 2010,pp. 555-562
[12]. L.T.Su,” The relevance or recall and precision in user evaluation,” J.Amer. Soc. Inform. Sci. vol. 45,no. 3,pp. 207-
217, 1994.
[13]. O.Chapelle, D.Metlzer, Y.Zhang and P.Grinspan,” Expected reciprocal rank for graded relevance,” in Proc. 18th
ACM Conf.Inform.Knowl.Manage., 2009,pp.621- 630.

Contenu connexe

Tendances

BigData Analytics_1.7
BigData Analytics_1.7BigData Analytics_1.7
BigData Analytics_1.7Rohit Mittal
 
Text Analytics for Dummies 2010
Text Analytics for Dummies 2010Text Analytics for Dummies 2010
Text Analytics for Dummies 2010Seth Grimes
 
Detailed Investigation of Text Classification and Clustering of Twitter Data ...
Detailed Investigation of Text Classification and Clustering of Twitter Data ...Detailed Investigation of Text Classification and Clustering of Twitter Data ...
Detailed Investigation of Text Classification and Clustering of Twitter Data ...ijtsrd
 
International journal of computer science and innovation vol 2015-n1-paper4
International journal of computer science and innovation  vol 2015-n1-paper4International journal of computer science and innovation  vol 2015-n1-paper4
International journal of computer science and innovation vol 2015-n1-paper4sophiabelthome
 
GROUP PROJECT REPORT_FY6055_FX7378
GROUP PROJECT REPORT_FY6055_FX7378GROUP PROJECT REPORT_FY6055_FX7378
GROUP PROJECT REPORT_FY6055_FX7378Parag Kapile
 
Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...
Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...
Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...Anastasija Nikiforova
 
Text/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and ProvidersText/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and ProvidersSeth Grimes
 
IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...
IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...
IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...Anastasija Nikiforova
 
Comparison Between WEKA and Salford System in Data Mining Software
Comparison Between WEKA and Salford System in Data Mining SoftwareComparison Between WEKA and Salford System in Data Mining Software
Comparison Between WEKA and Salford System in Data Mining SoftwareUniversitas Pembangunan Panca Budi
 
12 Things the Semantic Web Should Know about Content Analytics
12 Things the Semantic Web Should Know about Content Analytics12 Things the Semantic Web Should Know about Content Analytics
12 Things the Semantic Web Should Know about Content AnalyticsSeth Grimes
 
Lecture 19
Lecture 19Lecture 19
Lecture 19Shani729
 

Tendances (18)

BigData Analytics_1.7
BigData Analytics_1.7BigData Analytics_1.7
BigData Analytics_1.7
 
Preprocessing
PreprocessingPreprocessing
Preprocessing
 
Text Analytics for Dummies 2010
Text Analytics for Dummies 2010Text Analytics for Dummies 2010
Text Analytics for Dummies 2010
 
Detailed Investigation of Text Classification and Clustering of Twitter Data ...
Detailed Investigation of Text Classification and Clustering of Twitter Data ...Detailed Investigation of Text Classification and Clustering of Twitter Data ...
Detailed Investigation of Text Classification and Clustering of Twitter Data ...
 
Hh
HhHh
Hh
 
International journal of computer science and innovation vol 2015-n1-paper4
International journal of computer science and innovation  vol 2015-n1-paper4International journal of computer science and innovation  vol 2015-n1-paper4
International journal of computer science and innovation vol 2015-n1-paper4
 
GROUP PROJECT REPORT_FY6055_FX7378
GROUP PROJECT REPORT_FY6055_FX7378GROUP PROJECT REPORT_FY6055_FX7378
GROUP PROJECT REPORT_FY6055_FX7378
 
Classification of data
Classification of dataClassification of data
Classification of data
 
Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...
Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...
Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can...
 
Data analytics
Data analyticsData analytics
Data analytics
 
Reports vs analysis
Reports vs analysisReports vs analysis
Reports vs analysis
 
Database
DatabaseDatabase
Database
 
Text/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and ProvidersText/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and Providers
 
IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...
IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...
IoTSE-based Open Database Vulnerability inspection in three Baltic Countries:...
 
Data mining
Data miningData mining
Data mining
 
Comparison Between WEKA and Salford System in Data Mining Software
Comparison Between WEKA and Salford System in Data Mining SoftwareComparison Between WEKA and Salford System in Data Mining Software
Comparison Between WEKA and Salford System in Data Mining Software
 
12 Things the Semantic Web Should Know about Content Analytics
12 Things the Semantic Web Should Know about Content Analytics12 Things the Semantic Web Should Know about Content Analytics
12 Things the Semantic Web Should Know about Content Analytics
 
Lecture 19
Lecture 19Lecture 19
Lecture 19
 

En vedette

Sec b group 9_polarizing brands
Sec b group 9_polarizing brandsSec b group 9_polarizing brands
Sec b group 9_polarizing brandsSameer Mathur
 
EL SISTEMA CARDIOVASCULAR HUMANO
EL SISTEMA CARDIOVASCULAR HUMANOEL SISTEMA CARDIOVASCULAR HUMANO
EL SISTEMA CARDIOVASCULAR HUMANObriseida-manayay
 
Future of Stakeholder Engagement Report 2013
Future of Stakeholder Engagement Report 2013Future of Stakeholder Engagement Report 2013
Future of Stakeholder Engagement Report 2013Brunswick Insight
 
Goldsilk Complex Present
Goldsilk Complex PresentGoldsilk Complex Present
Goldsilk Complex Presentthaininh1602
 
Rita campusano quandary
Rita campusano   quandaryRita campusano   quandary
Rita campusano quandaryJhanndy
 
Сверхмассивные чёрные дыры
Сверхмассивные чёрные дырыСверхмассивные чёрные дыры
Сверхмассивные чёрные дырыkakmenyavsezadralo
 
Constructed landscape3 b&b(latest)
Constructed landscape3 b&b(latest)Constructed landscape3 b&b(latest)
Constructed landscape3 b&b(latest)chloeesim
 
Recognizing activities...
Recognizing activities...Recognizing activities...
Recognizing activities...Andreea_Maria
 
A Literature Survey on Mobile-Learning Management Systems
A Literature Survey on Mobile-Learning Management SystemsA Literature Survey on Mobile-Learning Management Systems
A Literature Survey on Mobile-Learning Management SystemsAM Publications
 
Fluid browser customer service number
Fluid browser customer service numberFluid browser customer service number
Fluid browser customer service numberhelpbrowser
 
Final ppp presenation faloshey daniel
Final ppp presenation faloshey danielFinal ppp presenation faloshey daniel
Final ppp presenation faloshey danieldanfaloshey
 

En vedette (13)

Sec b group 9_polarizing brands
Sec b group 9_polarizing brandsSec b group 9_polarizing brands
Sec b group 9_polarizing brands
 
EL SISTEMA CARDIOVASCULAR HUMANO
EL SISTEMA CARDIOVASCULAR HUMANOEL SISTEMA CARDIOVASCULAR HUMANO
EL SISTEMA CARDIOVASCULAR HUMANO
 
Paradise3magazine.doc
Paradise3magazine.docParadise3magazine.doc
Paradise3magazine.doc
 
Sec b pgp30220
Sec b pgp30220Sec b pgp30220
Sec b pgp30220
 
Future of Stakeholder Engagement Report 2013
Future of Stakeholder Engagement Report 2013Future of Stakeholder Engagement Report 2013
Future of Stakeholder Engagement Report 2013
 
Goldsilk Complex Present
Goldsilk Complex PresentGoldsilk Complex Present
Goldsilk Complex Present
 
Rita campusano quandary
Rita campusano   quandaryRita campusano   quandary
Rita campusano quandary
 
Сверхмассивные чёрные дыры
Сверхмассивные чёрные дырыСверхмассивные чёрные дыры
Сверхмассивные чёрные дыры
 
Constructed landscape3 b&b(latest)
Constructed landscape3 b&b(latest)Constructed landscape3 b&b(latest)
Constructed landscape3 b&b(latest)
 
Recognizing activities...
Recognizing activities...Recognizing activities...
Recognizing activities...
 
A Literature Survey on Mobile-Learning Management Systems
A Literature Survey on Mobile-Learning Management SystemsA Literature Survey on Mobile-Learning Management Systems
A Literature Survey on Mobile-Learning Management Systems
 
Fluid browser customer service number
Fluid browser customer service numberFluid browser customer service number
Fluid browser customer service number
 
Final ppp presenation faloshey daniel
Final ppp presenation faloshey danielFinal ppp presenation faloshey daniel
Final ppp presenation faloshey daniel
 

Similaire à Evaluation Mechanism for Similarity-Based Ranked Search Over Scientific Data

APPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICS
APPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICSAPPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICS
APPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICSJim Jimenez
 
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...Thomas Rones
 
Data Mining – A Perspective Approach
Data Mining – A Perspective ApproachData Mining – A Perspective Approach
Data Mining – A Perspective ApproachIRJET Journal
 
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008Journal For Research
 
Welcome!This is an exciting day!You will be completing t.docx
Welcome!This is an exciting day!You will be completing t.docxWelcome!This is an exciting day!You will be completing t.docx
Welcome!This is an exciting day!You will be completing t.docxtroutmanboris
 
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...IJEACS
 
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...
IRJET-  	  Comparative Analysis of Various Tools for Data Mining and Big Data...IRJET-  	  Comparative Analysis of Various Tools for Data Mining and Big Data...
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...IRJET Journal
 
IRJET-Computational model for the processing of documents and support to the ...
IRJET-Computational model for the processing of documents and support to the ...IRJET-Computational model for the processing of documents and support to the ...
IRJET-Computational model for the processing of documents and support to the ...IRJET Journal
 
PAS: A Sampling Based Similarity Identification Algorithm for compression of ...
PAS: A Sampling Based Similarity Identification Algorithm for compression of ...PAS: A Sampling Based Similarity Identification Algorithm for compression of ...
PAS: A Sampling Based Similarity Identification Algorithm for compression of ...rahulmonikasharma
 
2016 data-science-salary-survey - O’Reilly Data Science
2016 data-science-salary-survey - O’Reilly Data Science2016 data-science-salary-survey - O’Reilly Data Science
2016 data-science-salary-survey - O’Reilly Data ScienceAdam Rabinovitch
 
2016 Data Science Salary Survey
2016 Data Science Salary Survey2016 Data Science Salary Survey
2016 Data Science Salary SurveyTrieu Nguyen
 
IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...IRJET Journal
 
Annotation Approach for Document with Recommendation
Annotation Approach for Document with Recommendation Annotation Approach for Document with Recommendation
Annotation Approach for Document with Recommendation ijmpict
 
data-science-lifecycle-ebook.pdf
data-science-lifecycle-ebook.pdfdata-science-lifecycle-ebook.pdf
data-science-lifecycle-ebook.pdfDanilo Cardona
 
An Efficient Approach for Asymmetric Data Classification
An Efficient Approach for Asymmetric Data ClassificationAn Efficient Approach for Asymmetric Data Classification
An Efficient Approach for Asymmetric Data ClassificationAM Publications
 
Data modeling techniques used for big data in enterprise networks
Data modeling techniques used for big data in enterprise networksData modeling techniques used for big data in enterprise networks
Data modeling techniques used for big data in enterprise networksDr. Richard Otieno
 
Search Engine Scrapper
Search Engine ScrapperSearch Engine Scrapper
Search Engine ScrapperIRJET Journal
 
KIT-601 Lecture Notes-UNIT-1.pdf
KIT-601 Lecture Notes-UNIT-1.pdfKIT-601 Lecture Notes-UNIT-1.pdf
KIT-601 Lecture Notes-UNIT-1.pdfDr. Radhey Shyam
 
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...IRJET Journal
 

Similaire à Evaluation Mechanism for Similarity-Based Ranked Search Over Scientific Data (20)

APPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICS
APPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICSAPPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICS
APPLICATION OF SENTIMENT ANALYSIS IN WEB DATA ANALYTICS
 
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
 
Data Mining – A Perspective Approach
Data Mining – A Perspective ApproachData Mining – A Perspective Approach
Data Mining – A Perspective Approach
 
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
 
Welcome!This is an exciting day!You will be completing t.docx
Welcome!This is an exciting day!You will be completing t.docxWelcome!This is an exciting day!You will be completing t.docx
Welcome!This is an exciting day!You will be completing t.docx
 
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...
 
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...
IRJET-  	  Comparative Analysis of Various Tools for Data Mining and Big Data...IRJET-  	  Comparative Analysis of Various Tools for Data Mining and Big Data...
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...
 
IRJET-Computational model for the processing of documents and support to the ...
IRJET-Computational model for the processing of documents and support to the ...IRJET-Computational model for the processing of documents and support to the ...
IRJET-Computational model for the processing of documents and support to the ...
 
PAS: A Sampling Based Similarity Identification Algorithm for compression of ...
PAS: A Sampling Based Similarity Identification Algorithm for compression of ...PAS: A Sampling Based Similarity Identification Algorithm for compression of ...
PAS: A Sampling Based Similarity Identification Algorithm for compression of ...
 
2016 data-science-salary-survey - O’Reilly Data Science
2016 data-science-salary-survey - O’Reilly Data Science2016 data-science-salary-survey - O’Reilly Data Science
2016 data-science-salary-survey - O’Reilly Data Science
 
2016 Data Science Salary Survey
2016 Data Science Salary Survey2016 Data Science Salary Survey
2016 Data Science Salary Survey
 
IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
 
Data Mining
Data MiningData Mining
Data Mining
 
Annotation Approach for Document with Recommendation
Annotation Approach for Document with Recommendation Annotation Approach for Document with Recommendation
Annotation Approach for Document with Recommendation
 
data-science-lifecycle-ebook.pdf
data-science-lifecycle-ebook.pdfdata-science-lifecycle-ebook.pdf
data-science-lifecycle-ebook.pdf
 
An Efficient Approach for Asymmetric Data Classification
An Efficient Approach for Asymmetric Data ClassificationAn Efficient Approach for Asymmetric Data Classification
An Efficient Approach for Asymmetric Data Classification
 
Data modeling techniques used for big data in enterprise networks
Data modeling techniques used for big data in enterprise networksData modeling techniques used for big data in enterprise networks
Data modeling techniques used for big data in enterprise networks
 
Search Engine Scrapper
Search Engine ScrapperSearch Engine Scrapper
Search Engine Scrapper
 
KIT-601 Lecture Notes-UNIT-1.pdf
KIT-601 Lecture Notes-UNIT-1.pdfKIT-601 Lecture Notes-UNIT-1.pdf
KIT-601 Lecture Notes-UNIT-1.pdf
 
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
 

Plus de AM Publications

DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...AM Publications
 
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...AM Publications
 
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGNTHE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGNAM Publications
 
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...AM Publications
 
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...AM Publications
 
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESAM Publications
 
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS AM Publications
 
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...AM Publications
 
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONHMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONAM Publications
 
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...AM Publications
 
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...AM Publications
 
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...AM Publications
 
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...AM Publications
 
OPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNNOPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNNAM Publications
 
DETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECTDETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECTAM Publications
 
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTSIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTAM Publications
 
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...AM Publications
 
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...AM Publications
 
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY AM Publications
 

Plus de AM Publications (20)

DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
 
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
 
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGNTHE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
 
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
 
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
 
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
 
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
 
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
 
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONHMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
 
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
 
INTELLIGENT BLIND STICK
INTELLIGENT BLIND STICKINTELLIGENT BLIND STICK
INTELLIGENT BLIND STICK
 
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
 
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
 
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
 
OPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNNOPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNN
 
DETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECTDETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECT
 
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTSIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
 
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
 
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
 
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
 

Dernier

Streamlining Your Application Builds with Cloud Native Buildpacks
Streamlining Your Application Builds  with Cloud Native BuildpacksStreamlining Your Application Builds  with Cloud Native Buildpacks
Streamlining Your Application Builds with Cloud Native BuildpacksVish Abrams
 
Top Software Development Trends in 2024
Top Software Development Trends in  2024Top Software Development Trends in  2024
Top Software Development Trends in 2024Mind IT Systems
 
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.Sharon Liu
 
Kawika Technologies pvt ltd Software Development Company in Trivandrum
Kawika Technologies pvt ltd Software Development Company in TrivandrumKawika Technologies pvt ltd Software Development Company in Trivandrum
Kawika Technologies pvt ltd Software Development Company in TrivandrumKawika Technologies
 
AI Embracing Every Shade of Human Beauty
AI Embracing Every Shade of Human BeautyAI Embracing Every Shade of Human Beauty
AI Embracing Every Shade of Human BeautyRaymond Okyere-Forson
 
Growing Oxen: channel operators and retries
Growing Oxen: channel operators and retriesGrowing Oxen: channel operators and retries
Growing Oxen: channel operators and retriesSoftwareMill
 
Webinar_050417_LeClair12345666777889.ppt
Webinar_050417_LeClair12345666777889.pptWebinar_050417_LeClair12345666777889.ppt
Webinar_050417_LeClair12345666777889.pptkinjal48
 
ERP For Electrical and Electronics manufecturing.pptx
ERP For Electrical and Electronics manufecturing.pptxERP For Electrical and Electronics manufecturing.pptx
ERP For Electrical and Electronics manufecturing.pptxAutus Cyber Tech
 
Introduction-to-Software-Development-Outsourcing.pptx
Introduction-to-Software-Development-Outsourcing.pptxIntroduction-to-Software-Development-Outsourcing.pptx
Introduction-to-Software-Development-Outsourcing.pptxIntelliSource Technologies
 
Why Choose Brain Inventory For Ecommerce Development.pdf
Why Choose Brain Inventory For Ecommerce Development.pdfWhy Choose Brain Inventory For Ecommerce Development.pdf
Why Choose Brain Inventory For Ecommerce Development.pdfBrain Inventory
 
eAuditor Audits & Inspections - conduct field inspections
eAuditor Audits & Inspections - conduct field inspectionseAuditor Audits & Inspections - conduct field inspections
eAuditor Audits & Inspections - conduct field inspectionsNirav Modi
 
JS-Experts - Cybersecurity for Generative AI
JS-Experts - Cybersecurity for Generative AIJS-Experts - Cybersecurity for Generative AI
JS-Experts - Cybersecurity for Generative AIIvo Andreev
 
Sales Territory Management: A Definitive Guide to Expand Sales Coverage
Sales Territory Management: A Definitive Guide to Expand Sales CoverageSales Territory Management: A Definitive Guide to Expand Sales Coverage
Sales Territory Management: A Definitive Guide to Expand Sales CoverageDista
 
Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...
Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...
Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...Jaydeep Chhasatia
 
Fields in Java and Kotlin and what to expect.pptx
Fields in Java and Kotlin and what to expect.pptxFields in Java and Kotlin and what to expect.pptx
Fields in Java and Kotlin and what to expect.pptxJoão Esperancinha
 
How Does the Epitome of Spyware Differ from Other Malicious Software?
How Does the Epitome of Spyware Differ from Other Malicious Software?How Does the Epitome of Spyware Differ from Other Malicious Software?
How Does the Epitome of Spyware Differ from Other Malicious Software?AmeliaSmith90
 
Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...
Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...
Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...OnePlan Solutions
 
Enterprise Document Management System - Qualityze Inc
Enterprise Document Management System - Qualityze IncEnterprise Document Management System - Qualityze Inc
Enterprise Document Management System - Qualityze Incrobinwilliams8624
 
ARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdf
ARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdfARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdf
ARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdfTobias Schneck
 

Dernier (20)

Streamlining Your Application Builds with Cloud Native Buildpacks
Streamlining Your Application Builds  with Cloud Native BuildpacksStreamlining Your Application Builds  with Cloud Native Buildpacks
Streamlining Your Application Builds with Cloud Native Buildpacks
 
Top Software Development Trends in 2024
Top Software Development Trends in  2024Top Software Development Trends in  2024
Top Software Development Trends in 2024
 
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
 
Kawika Technologies pvt ltd Software Development Company in Trivandrum
Kawika Technologies pvt ltd Software Development Company in TrivandrumKawika Technologies pvt ltd Software Development Company in Trivandrum
Kawika Technologies pvt ltd Software Development Company in Trivandrum
 
AI Embracing Every Shade of Human Beauty
AI Embracing Every Shade of Human BeautyAI Embracing Every Shade of Human Beauty
AI Embracing Every Shade of Human Beauty
 
Growing Oxen: channel operators and retries
Growing Oxen: channel operators and retriesGrowing Oxen: channel operators and retries
Growing Oxen: channel operators and retries
 
Webinar_050417_LeClair12345666777889.ppt
Webinar_050417_LeClair12345666777889.pptWebinar_050417_LeClair12345666777889.ppt
Webinar_050417_LeClair12345666777889.ppt
 
ERP For Electrical and Electronics manufecturing.pptx
ERP For Electrical and Electronics manufecturing.pptxERP For Electrical and Electronics manufecturing.pptx
ERP For Electrical and Electronics manufecturing.pptx
 
Introduction-to-Software-Development-Outsourcing.pptx
Introduction-to-Software-Development-Outsourcing.pptxIntroduction-to-Software-Development-Outsourcing.pptx
Introduction-to-Software-Development-Outsourcing.pptx
 
Why Choose Brain Inventory For Ecommerce Development.pdf
Why Choose Brain Inventory For Ecommerce Development.pdfWhy Choose Brain Inventory For Ecommerce Development.pdf
Why Choose Brain Inventory For Ecommerce Development.pdf
 
eAuditor Audits & Inspections - conduct field inspections
eAuditor Audits & Inspections - conduct field inspectionseAuditor Audits & Inspections - conduct field inspections
eAuditor Audits & Inspections - conduct field inspections
 
JS-Experts - Cybersecurity for Generative AI
JS-Experts - Cybersecurity for Generative AIJS-Experts - Cybersecurity for Generative AI
JS-Experts - Cybersecurity for Generative AI
 
Salesforce AI Associate Certification.pptx
Salesforce AI Associate Certification.pptxSalesforce AI Associate Certification.pptx
Salesforce AI Associate Certification.pptx
 
Sales Territory Management: A Definitive Guide to Expand Sales Coverage
Sales Territory Management: A Definitive Guide to Expand Sales CoverageSales Territory Management: A Definitive Guide to Expand Sales Coverage
Sales Territory Management: A Definitive Guide to Expand Sales Coverage
 
Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...
Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...
Optimizing Business Potential: A Guide to Outsourcing Engineering Services in...
 
Fields in Java and Kotlin and what to expect.pptx
Fields in Java and Kotlin and what to expect.pptxFields in Java and Kotlin and what to expect.pptx
Fields in Java and Kotlin and what to expect.pptx
 
How Does the Epitome of Spyware Differ from Other Malicious Software?
How Does the Epitome of Spyware Differ from Other Malicious Software?How Does the Epitome of Spyware Differ from Other Malicious Software?
How Does the Epitome of Spyware Differ from Other Malicious Software?
 
Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...
Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...
Transforming PMO Success with AI - Discover OnePlan Strategic Portfolio Work ...
 
Enterprise Document Management System - Qualityze Inc
Enterprise Document Management System - Qualityze IncEnterprise Document Management System - Qualityze Inc
Enterprise Document Management System - Qualityze Inc
 
ARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdf
ARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdfARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdf
ARM Talk @ Rejekts - Will ARM be the new Mainstream in our Data Centers_.pdf
 

Evaluation Mechanism for Similarity-Based Ranked Search Over Scientific Data

  • 1. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 06, Volume 3 (June 2016) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 16, IJIRAE- All Rights Reserved Page -130 Evaluation Mechanism for Similarity-Based Ranked Search Over Scientific Data Ms. Thorat Shalini B. Prof. Korde S.K. Department of Computer Engg Department of Computer Engg Pravara Rural Engineering College, Loni Pravara Rural Engineering College, Loni Abstract— The motto of this paper is to provide an essential and efficient method to retrieve the data profiles being stored in a particular storage database like the one scientific database. Our country has succeeded in our mars mission in our first attempt. So as far as the information about such an important mission is concerned the information should be retrieved safely as fast as possible. Keeping this in mind we have tried to implement and provide the fastest information retrieval technique. This can lead to better and better retrieval speed in the future missions in lesser time. Here, we have used Information Retrieval-style ranked search. We contemplate the IR-style ranked attend can be exercised to word firms to hold an expert capture the more disclosure between the numerable word firms in large amount templates, much love content-based ranked bring up the rear helps users the way one sees it feel of the large place of business of web content. To show this supposition, we innovated the management of rated accompany for business like information for a current multi-TB experimental certificate like our test. In this attempt, we assess in case the work of genius of differing resemblance, and hence rated attend, try differential data. Keywords— similarity search, Information Retrieval-style ranking, Internet documents, IR-style ranked search, metadata curation. I. INTRODUCTION You've instantly stored 100 fragments or patterns, some overall three months back; not consistently told patterns have by atmospheric condition figure noticeable, including the gadget, interpretation templates and characterizing assembly as patterns differs. For the tap at laborer, you have motion reveal studio L and lead T, by hook or crook you cannot win directed forward what trailer to affront the sarcastic easy core data. This will be also feasible to propose individual fact apply separately alert the correct combo (though where we will be stretched concerning for manage cannot appear). Then varied experts had on the way to contributing heavy page polished firms, also they are far and wide numerable atmospheric condition patterns. When we cancel examine if a saturation form story apply abide by if pattern in 20s, an approach attend shares from such to do to the contrasting five hours. If undeniable metadata on anticipate and motion describe studio all profile was concentrated and joined in a guidebook by the whole of search capacity, and gave the third degree on has a head start or on yesterday might annul the place of function of disclosure exchange examine. Once there are lakh of latitude forms, when we seek on an area from a well-known do to the other the T and L of a snap, we may even earn thousands of word 1 firms to assume; optionally, we may gain nothing. We gave a pink misplace iterate your work oneself to the bone it unsound of, making it preferably or slight strict. Perhaps you are finished to recognize at the hand of 10 or 20 profiles for applicability, for all that at which relate does we get a search that will provide us the best" or most likely" 10 or 20? It will threw in such lot with immensely if they were arranged close but no cigar in sending up the river of same old thing to our munch requirement. The above mentioned story volume are not impossible; storage are then generally TBs in intensity and take care of suppress thousands of advice sets, and the price fish of take turn for better continues to assist. As announcement id sizes rocket, methods scientists have secondhand to manage announcement as a native of to fail. Some systems clear piano navigation of catalogs; the meddle is approaching to be gat a charge out of a well-known man cast to goes to the polls the according to the book choice at every stray which would even point to the aimed documents. A few structures behave merely geological data about data connection one like contents or intersects; leaving, about Binary keywords for tenacious text in metadata. II. RELATED WORK Data about data facilitate at this instant ideas to explore a precise document. The Metadata Catalog Service (MCS) [17] and MCAT Metadata Catalog connected mutually iRODS score data about data for what you see is what you get datasets. MCAT is strongly coupled mutually iRODS and it facilitates metadata about consistent and substantial documents [18]. In study, MCS controls the metadata of consistent definition entity and it gives greater flexibility to verify various different text record appliances. Two of the data about data files trust the customers data to draw the data about data.
  • 2. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 06, Volume 3 (June 2016) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 16, IJIRAE- All Rights Reserved Page -131 In GLEAN, the metadata are joined undoubtedly left-out customer-interruption; these data about data bounce be fine- grained or coarse-grained. There is an advantage of peruse in the dis-close of trivial or geographical documents. Thematic Real-time Environmental Distributed Data Services (THREDDS) [10] facilitates an entire surrounding for statement acknowledgement, message examination, bring to light, and live attain to actual time dainty data. Metadata of the documents are inclined and administer by metadata repositories. The Earth System Grid (ESG) [19] back dis-completion as well as retrieve to regular weather structuring documents. ESG gives in turn ways to seek documents: Google-style text attend, occupying on previously produced primary doubt, and an communicative reference nick medium. In GLEAN, customers cut back scan arbitraries of data about data which are evaluated undoubtedly in decision to the metadata cipher on the way to toward the datasets. MyLEAD [8] stores experimental and structuring text. In addition myLEAD further records customers computational tasks a well-known like constantly sequence meanwhile storing the average and outcome fact of a calculation. To record short while ago reproduced datasets, the curriculum of transpire build on assistance from the aiding front page new origins. In relate, GLEAN executes an assailer afterwards the superabundance of the front page new origin to give additional pliable or bendable powers that be of choice of definition origin. Group directed or galvanized creation of important documents is kept ready willing and able in GLEAN by permitting customers to determine documents. NCDC employ a communicative at which point to nick [21] to spell out customers attend, also to tipoff documents. It administer local, word quality, as well as worldly clean for the head page beautiful find. NCDC also facilitates an hourly idea of the broadcasted documents. Similarly, the head page beautiful entertaining family dine of NOAAs Climate Services administer stratified or ordered flipping through based on the variety of the particular with data and communicative at which point to nick based seek [22]. This medium facilitates an analytical outline of the word based on the attend norm. Lastly, [23] administer entries to the tens of front page new helpers around the crowd disclosure door. III. SYSTEM ARCHITECTURE Our proposed system consists of a dataset, a search user and administrator. The role of administrator is to check out the users who login and logout the system and protect the system by providing appropriate authentication scheme. The role of a search user will be to search the data as expected by the end user. For this purpose search user makes use of similarity measure which is evaluated for searching the requested data. Also similarity measure will be computed by using features extracted from the input provided by the end user. After searching the requested data search user will download the data if found else he will send the message that data is not found. Then it will acknowledge the administrator that data is found or not. If data is found then the end user will download the data. Fig 1. System Architecture
  • 3. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 06, Volume 3 (June 2016) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 16, IJIRAE- All Rights Reserved Page -132 ALGORITHMS USED IN EXISTING AND PROPOSED SYSTEM S no. Paper name Algorithm/Tool Description 1. Evaluation Mechanism for Similarity-Based Ranked Search over Scientific Data Data search tool, TF-IDF, Feature- space model Information retrieval technique makes retrieval of relevant documents easier and top-k retrieval is used to retrieve most relevant documents. 2. Taming the Metadata Mess 2013 Metadata wrangling tool The tools fall into three major categories: Data-access approaches, Visualizing individual datasets, Text- based search of metadata . 3. Navigating Oceans of Data 2012 Data Near Here, PostGIS 1.5 Data Near Here queries become more sophisticated, it becomes expensive to apply the similarity function to the footprints of all the data sets. PostGIS 1.5 does not fully support three- dimensional spatial functions. 4. Expected Reciprocal Rank for Graded Relevance 2009 Algorithm to compute ERR, Algorithm to simulate two ranking functions The evaluation of new metrics is challenging because there is no ground truth to compare with. IV.EXPERIMENTAL RESULTS i. RESULTS SNAPSHOTS: Fig 2. Search area selected in real-time map Fig 3. Scientific data added
  • 4. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 06, Volume 3 (June 2016) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 16, IJIRAE- All Rights Reserved Page -133 Fig 4. Longitude and latitude mapped Fig 5. Displayed relevant data V. CONCLUSIONS The prototype system developed during this project is now in use by scientists within CMOP; after a validation period, the system will be made publicly available. We are beginning to incorporate data sets from other sources into the catalog, allowing users to search for data across multiple organizations archives. Such data sets will be served from their original location, with only an entry added to our catalog. Planned research includes adding mechanisms for similarity of variable names, and for searching over categorical data. We are encouraged by our experiences in applying IR techniques to data set ranked search, and by the enthusiasm of the scientists for our work. ACKNOWLEDGMENT First and the foremost I, express my deep sense of gratitude, sincere thanks and deep sense of appreciation to my Project Guide Prof. S. K. Korde, Department of Computer Engineering, Pravara Rural Engineering College, Loni for his precious and helpful guidance. I would also like to thank Prof. S. Y. Raut, P.G. Coordinator for her great understanding and support. I am sincerely thankful to my H.O.D., Prof. S. D. Jondhale, Department of Computer Engineering for the systematic guidance and providing necessary facilities and the best support I ever had. Your opinion, views, comments and thoughts have really brought meaning to my hard-work. I would like to express my sincere gratitude to Dr. R.S. Jahagirdar, Principal, Pravara Rural Engineering College, Loni for providing a great platform to complete the thesis within scheduled time.
  • 5. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 06, Volume 3 (June 2016) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2015): 3.361 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 16, IJIRAE- All Rights Reserved Page -134 REFERENCES [1]. P.Lord and A. MacDonald,”e-Science curation report:Data curation for e-Science in the UK: An audit to establish re-quirements for future for and provision,” http://www.jisc.ac.uk/uploadeddocuments/e-ScienceReportFinal.pdf, 2003 [2]. S.Weidman and T. Arrison, Steps Toward Large-Scale Data Integration In The Sciences:Summary of a Workshop, Washington, DC, USA: Nat, Acad. Press, Aug 2009 [3]. J.K. Batcheller,”Automating geospatial metadata generation,” Comput. Geosci.,vol.34,no.4, 387-398, 2008. [4]. A.D’Ulizia, F.Ferri, A.Formica and P.Grifoni, ”Approximating geographical queries” J. Comput. Sci. Technol. vol. 24,no. 6,pp. 1109-1124, 2009 [5]. T. Saracevic,”Relevance: A Review of the literature and a framework for thinking on notion in Information Science, Parts II,III,” J.Amer. Soc. Informa. Sci. Technol., vol.58,no.13,pp.2126-2144, 2007 [6]. V.M.Megler and D.Maier,”Finding Haystacks with needles: Ranked search for data using geospatial and temporal characteristics,” in Proc. 23rd Int. Conf. Statist. Database Management., 2011, pp.55-72. [7]. D.Maier, V.M.Megler, A.Baptista, A.Jaramillo, C.Seaton and P.Turner,”Navigating oceans of data,” in Proc. 24th Int. Conf. Sci. Statist. Database Management, 2012, vol. 7338,pp.1-19. [8]. V.M.Megler,”Taming the metadata mess,” in Proc.IEEE 29th Int. Conf. Data Eng. Workshops,2013,pp.286-289. [9]. D.R.Montello,”The measurement of cognitive distance: Methods and construct validity,” J.Environ. Psychol. vol. 11,no. 2,pp. 101-122, 1991. [10]. V.Markl, M.Kutsch, T.Tran, P.Haas and N.Megiddo,”MAXENT: Consistent cardinality estimation in action,” in Proc. ACM SIGMOD Int. Conf. Manage. Data, 2006,pp.775-777. [11]. M.Sanderson, M.L. Paramita, P.Clough and Kanoulas,” Do user preferences and evaluation measures line up?” in Proc. 33rd Int. ACM SIGIR Conf. Res. Develop. Inform. Retrieval, 2010,pp. 555-562 [12]. L.T.Su,” The relevance or recall and precision in user evaluation,” J.Amer. Soc. Inform. Sci. vol. 45,no. 3,pp. 207- 217, 1994. [13]. O.Chapelle, D.Metlzer, Y.Zhang and P.Grinspan,” Expected reciprocal rank for graded relevance,” in Proc. 18th ACM Conf.Inform.Knowl.Manage., 2009,pp.621- 630.