Data mining

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

4. Solution is ….

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 o f 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