Table of Contents
Data Mining
Data Mining (DM)/ Knowledge Discovery in Databases (KDD)
Need for Data Mining
Need for Data Mining
Need for Data Mining
Need for Data Mining
Something for Everyone
Market Analysis and Management
Market Analysis and Management
Corporate Analysis and Risk Management
Fraud Detection and Management
Fraud Detection and Management
Other Applications
Issues
IBM Advertisement
Massive Data Sets
Data Mining: An Architecture for the Problem
Need for Data Mining
Early Data Mining Application
Data Mining is Hot!
Darwin Advertisement
Example: Prediction
Bank Loan Example
Some Definitions
Bank Loan Example
Definitions (cont.)
KDD Process
KDD Process
PPT Slide
Relevant to Data Mining
Common Components of Data Mining Methods
Overview of Data Mining Methods
Overview of Data Mining Methods
Popular Data Mining Methods
Popular Data Mining Methods
Popular Data Mining Methods
Popular Data Mining Methods
Overview of Data Mining Methods
Overview of Data Mining Methods
Substructure Discovery - SUBDUE
No one tool is best for all problems
Data Mining in Industry
PPT Slide
PPT Slide
Example System - Darwin
Practical and Technical Issues
Practical and Technical Issues
Challenges
Challenges
Challenges
Challenges
PPT Slide
Conclusion
Reference Materials
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