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

Data mining

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Page 1: Data mining

Data Mining-BY

Patil SnehaThorat Ragini

-From Government Polytechnic Mumbai, Bandra (E)

Page 2: Data mining

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

Page 3: Data mining

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

Page 4: Data mining

Solution is ….

Page 5: Data mining

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

Page 6: Data mining

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)

Page 7: Data mining

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

Page 8: Data mining

Applications Of Data MiningIndustry Applications

Finance- Credit card AnalysisInsurance- Claims, Fraud AnalysisTelecommunication- Call Record AnalysisTransport- Logistics ManagementConsumer Goods- Promotion AnalysisScientific Research- Image, Video, SpeechUtilities- Power Usage Analysis

Page 9: Data mining

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

Page 10: Data mining

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


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