SlideShare une entreprise Scribd logo
1  sur  20
Data Mining Presented By: Sarfaraz M Manik Making Sense Of Data
Data, Information & Knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Business Intelligence ,[object Object],[object Object]
Business Intelligence & Data Mining IT Business Intelligence Behavioral Biases Models Tools  Methods Data Decision Problems
What is Data Mining? ,[object Object]
Data Mining  : Confluence of Multiple Disciplines   Data Mining Database  Technology Statistics Other Disciplines Information Science Machine Learning Visualization
Data, Data everywhere yet … ,[object Object],[object Object],[object Object],[object Object],Why Data Mining?
Why Data Mining? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Application Of Data Mining Industry Application Finance Credit Card Analysis Insurance Claims, Fraud Analysis Telecommunication Call record analysis Transport Logistics management Consumer goods promotion analysis Scientific Research Image, Video, Speech Utilities Power usage analysis
Steps of Data Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Steps of Data Mining
Data Mining Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Is Data Mining a threat to Privacy and Information Security? ,[object Object],[object Object],[object Object],[object Object]
Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Customers Etc… Vendors Etc… Orders Data Warehouse Enterprise “ Database” Transactions Copied,  organized summarized Data Mining ,[object Object],[object Object],[object Object]
Data Warehousing ,[object Object],[object Object]
OLTP & OLAP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining Tools ,[object Object],[object Object],[object Object],[object Object]
[object Object]

Contenu connexe

Tendances (20)

Data Mining & Applications
Data Mining & ApplicationsData Mining & Applications
Data Mining & Applications
 
Data mining concepts and work
Data mining concepts and workData mining concepts and work
Data mining concepts and work
 
Data Mining
Data MiningData Mining
Data Mining
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Data mining
Data mining Data mining
Data mining
 
Data Science
Data ScienceData Science
Data Science
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSING
 
Introduction to Data mining
Introduction to Data miningIntroduction to Data mining
Introduction to Data mining
 
Data mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, ClassificationData mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, Classification
 
Introduction To Data Mining
Introduction To Data Mining   Introduction To Data Mining
Introduction To Data Mining
 
Data analytics
Data analyticsData analytics
Data analytics
 
Ppt on data science
Ppt on data science Ppt on data science
Ppt on data science
 
Big data ppt
Big data pptBig data ppt
Big data ppt
 
Data mining presentation.ppt
Data mining presentation.pptData mining presentation.ppt
Data mining presentation.ppt
 
Data mining techniques unit 1
Data mining techniques  unit 1Data mining techniques  unit 1
Data mining techniques unit 1
 
Big data ppt
Big  data pptBig  data ppt
Big data ppt
 
DATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MININGDATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MINING
 
Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
 
Data Preprocessing
Data PreprocessingData Preprocessing
Data Preprocessing
 
Data science
Data science Data science
Data science
 

En vedette

Data mining (lecture 1 & 2) conecpts and techniques
Data mining (lecture 1 & 2) conecpts and techniquesData mining (lecture 1 & 2) conecpts and techniques
Data mining (lecture 1 & 2) conecpts and techniquesSaif Ullah
 
Data mining project presentation
Data mining project presentationData mining project presentation
Data mining project presentationKaiwen Qi
 
Data warehouse architecture
Data warehouse architectureData warehouse architecture
Data warehouse architecturepcherukumalla
 
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data miningData Mining: Application and trends in data mining
Data Mining: Application and trends in data miningDataminingTools Inc
 
Major issues in data mining
Major issues in data miningMajor issues in data mining
Major issues in data miningSlideshare
 
Tuning data warehouse
Tuning data warehouseTuning data warehouse
Tuning data warehouseSrinivasan R
 
Data Mining: Data cube computation and data generalization
Data Mining: Data cube computation and data generalizationData Mining: Data cube computation and data generalization
Data Mining: Data cube computation and data generalizationDatamining Tools
 
Literary research 101
Literary research 101Literary research 101
Literary research 101macheney
 
Literary Research in Ayurveda
Literary Research in AyurvedaLiterary Research in Ayurveda
Literary Research in AyurvedaJSR Prasad
 
Conducting Literary Research
Conducting Literary ResearchConducting Literary Research
Conducting Literary ResearchBoxford Library
 
Annotated Bibliographies and Notetaking
Annotated Bibliographies and NotetakingAnnotated Bibliographies and Notetaking
Annotated Bibliographies and NotetakingSarah Clark
 
Annotated Bibliographies 2, Fall 2015
Annotated Bibliographies 2, Fall 2015Annotated Bibliographies 2, Fall 2015
Annotated Bibliographies 2, Fall 2015Elizabeth Johns
 
Spiral model presentation
Spiral model presentationSpiral model presentation
Spiral model presentationSayedFarhan110
 
Approaches of management
Approaches of managementApproaches of management
Approaches of managementpallavmanglik
 

En vedette (20)

Data mining (lecture 1 & 2) conecpts and techniques
Data mining (lecture 1 & 2) conecpts and techniquesData mining (lecture 1 & 2) conecpts and techniques
Data mining (lecture 1 & 2) conecpts and techniques
 
Data mining project presentation
Data mining project presentationData mining project presentation
Data mining project presentation
 
Data Mining: Association Rules Basics
Data Mining: Association Rules BasicsData Mining: Association Rules Basics
Data Mining: Association Rules Basics
 
Data warehouse architecture
Data warehouse architectureData warehouse architecture
Data warehouse architecture
 
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data miningData Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
 
Major issues in data mining
Major issues in data miningMajor issues in data mining
Major issues in data mining
 
Tuning data warehouse
Tuning data warehouseTuning data warehouse
Tuning data warehouse
 
01 Data Mining: Concepts and Techniques, 2nd ed.
01 Data Mining: Concepts and Techniques, 2nd ed.01 Data Mining: Concepts and Techniques, 2nd ed.
01 Data Mining: Concepts and Techniques, 2nd ed.
 
Data Mining: Data cube computation and data generalization
Data Mining: Data cube computation and data generalizationData Mining: Data cube computation and data generalization
Data Mining: Data cube computation and data generalization
 
Data mining notes
Data mining notesData mining notes
Data mining notes
 
Literary research 101
Literary research 101Literary research 101
Literary research 101
 
Literary Research in Ayurveda
Literary Research in AyurvedaLiterary Research in Ayurveda
Literary Research in Ayurveda
 
Conducting Literary Research
Conducting Literary ResearchConducting Literary Research
Conducting Literary Research
 
Annotated Bibliographies and Notetaking
Annotated Bibliographies and NotetakingAnnotated Bibliographies and Notetaking
Annotated Bibliographies and Notetaking
 
Annotated Bibliographies 2, Fall 2015
Annotated Bibliographies 2, Fall 2015Annotated Bibliographies 2, Fall 2015
Annotated Bibliographies 2, Fall 2015
 
Spiral model
Spiral modelSpiral model
Spiral model
 
Spiral model presentation
Spiral model presentationSpiral model presentation
Spiral model presentation
 
Lecture13 - Association Rules
Lecture13 - Association RulesLecture13 - Association Rules
Lecture13 - Association Rules
 
Genetic Algorithms
Genetic AlgorithmsGenetic Algorithms
Genetic Algorithms
 
Approaches of management
Approaches of managementApproaches of management
Approaches of management
 

Similaire à Data mining slides

Data Warehousing Datamining Concepts
Data Warehousing Datamining ConceptsData Warehousing Datamining Concepts
Data Warehousing Datamining Conceptsraulmisir
 
Gulabs Ppt On Data Warehousing And Mining
Gulabs Ppt On Data Warehousing And MiningGulabs Ppt On Data Warehousing And Mining
Gulabs Ppt On Data Warehousing And Mininggulab sharma
 
Business Intelligence
Business IntelligenceBusiness Intelligence
Business IntelligenceSukirti Garg
 
Data Mining and Data Warehouse
Data Mining and Data WarehouseData Mining and Data Warehouse
Data Mining and Data WarehouseAnupam Sharma
 
2013.12.12 big data heise webcast
2013.12.12 big data heise webcast2013.12.12 big data heise webcast
2013.12.12 big data heise webcastWilfried Hoge
 
UNIT - 1 : Part 1: Data Warehousing and Data Mining
UNIT - 1 : Part 1: Data Warehousing and Data MiningUNIT - 1 : Part 1: Data Warehousing and Data Mining
UNIT - 1 : Part 1: Data Warehousing and Data MiningNandakumar P
 
notes_dmdw_chap1.docx
notes_dmdw_chap1.docxnotes_dmdw_chap1.docx
notes_dmdw_chap1.docxAbshar Fatima
 
Embracing data science
Embracing data scienceEmbracing data science
Embracing data scienceVipul Kalamkar
 
Data mining
Data miningData mining
Data miningsagar dl
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousingwork
 
A Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining PresentationA Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining Presentationmillerca2
 
krithi-talk-impact.ppt
krithi-talk-impact.pptkrithi-talk-impact.ppt
krithi-talk-impact.pptKRISHNARAJ207
 
Data warehouse
Data warehouseData warehouse
Data warehouseMR Z
 

Similaire à Data mining slides (20)

1 introduction
1 introduction1 introduction
1 introduction
 
Data Warehousing Datamining Concepts
Data Warehousing Datamining ConceptsData Warehousing Datamining Concepts
Data Warehousing Datamining Concepts
 
Gulabs Ppt On Data Warehousing And Mining
Gulabs Ppt On Data Warehousing And MiningGulabs Ppt On Data Warehousing And Mining
Gulabs Ppt On Data Warehousing And Mining
 
IT Ready - DW: 1st Day
IT Ready - DW: 1st Day IT Ready - DW: 1st Day
IT Ready - DW: 1st Day
 
Business Intelligence
Business IntelligenceBusiness Intelligence
Business Intelligence
 
Data warehousing and Data mining
Data warehousing and Data mining Data warehousing and Data mining
Data warehousing and Data mining
 
Abstract
AbstractAbstract
Abstract
 
Data Mining and Data Warehouse
Data Mining and Data WarehouseData Mining and Data Warehouse
Data Mining and Data Warehouse
 
2013.12.12 big data heise webcast
2013.12.12 big data heise webcast2013.12.12 big data heise webcast
2013.12.12 big data heise webcast
 
UNIT - 1 : Part 1: Data Warehousing and Data Mining
UNIT - 1 : Part 1: Data Warehousing and Data MiningUNIT - 1 : Part 1: Data Warehousing and Data Mining
UNIT - 1 : Part 1: Data Warehousing and Data Mining
 
notes_dmdw_chap1.docx
notes_dmdw_chap1.docxnotes_dmdw_chap1.docx
notes_dmdw_chap1.docx
 
Embracing data science
Embracing data scienceEmbracing data science
Embracing data science
 
Data mining
Data miningData mining
Data mining
 
Data mining
Data mining Data mining
Data mining
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousing
 
Data mining and its applications!
Data mining and its applications!Data mining and its applications!
Data mining and its applications!
 
A Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining PresentationA Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining Presentation
 
krithi-talk-impact.ppt
krithi-talk-impact.pptkrithi-talk-impact.ppt
krithi-talk-impact.ppt
 
krithi-talk-impact.ppt
krithi-talk-impact.pptkrithi-talk-impact.ppt
krithi-talk-impact.ppt
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 

Dernier

Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 

Dernier (20)

Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 

Data mining slides

  • 1. Data Mining Presented By: Sarfaraz M Manik Making Sense Of Data
  • 2.
  • 3.  
  • 4.
  • 5. Business Intelligence & Data Mining IT Business Intelligence Behavioral Biases Models Tools Methods Data Decision Problems
  • 6.
  • 7. Data Mining : Confluence of Multiple Disciplines Data Mining Database Technology Statistics Other Disciplines Information Science Machine Learning Visualization
  • 8.
  • 9.
  • 10. Application Of Data Mining Industry Application Finance Credit Card Analysis Insurance Claims, Fraud Analysis Telecommunication Call record analysis Transport Logistics management Consumer goods promotion analysis Scientific Research Image, Video, Speech Utilities Power usage analysis
  • 11.
  • 12. Steps of Data Mining
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.