Data Mining

1. Data Mining
-BY
Patil Sneha
Thorat Ragini
-From Government Polytechnic
Mumbai, Bandra (E)

2. INTRODUCTION
 Why Data Mining?
 What is Data Mining?
 Data Mining – On What Kind of Data?
 Data Mining Techniques
 Applications Of Data Mining
 Advantages & Disadvantages of Data Mining
 Conclusion & References

3. Why Data Mining?
 Data Explosion Problem
• Automated Data Collection tools & matured
database technology lead to tremendous amount
of data stored in database, data warehouses &
other information repositories
 Lots Of Data is Being collected &
warehoused
• Web Data ,E Commerce
• Purchases Of Departments
• Bank/Credit Transactions

5. What is Data Mining?
 Data Mining Is Process of analysing data
from different perspectives & summarizing
into useful information
 Exploration & analysis, by automatic or semi
automatic means of large quantities of data in
order to discover meaningful patterns
 Extraction of implicit, previously unknown &
potentially useful information of data

6. Data Mining – On What Kind of
Data?
 Data Warehouses
 Relational database
 Transactional database
 Advanced DB & information repositories
• Object oriented and object relational databases
• Spatial Databases
• Time Series Data & Temporal data
• Text Databases & multimedia databases
• WWW(World Wide Web)

7. Data Mining Techniques
 Classification And Prediction
 Eg. Focused hiring
 Cluster Analysis
 Eg. Market Segmentation
 Outlier Analysis
 Eg. Fraud Detection
 Association Analysis
 Eg. Market Basket Analysis
 Evolution Analysis
 Eg. Forecasting Stock market index using Time series
analysis

8. Applications Of Data Mining
Industry Applications
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

9. Advantages & Disadvantages of
Data Mining
 Advantages of Data Mining
 Marketing/Retail
 Finance/Banking
 Manufacturing
 Governments
 Disadvantages of Data Mining
 Privacy Issues
 Security Issues
 Misuse of Information/Inaccurate Information

10. Conclusion & References
 Conclusion
 Data mining brings a lot of benefits to business,
society, governments as well as individual.
 However privacy, security, and misuse of informa