2. KDD vs Data Mining
3. Stages of KDD.
4. DBMS vs Data Mining.
5. loosely coupled and tightly coupled DBBMS.
6. data warehouse
7. data rich but information poor situation
8. data cube
9. descriptive and predictive Data Mining
10. Class/Concept Description
11. Data characterization
12. Data discrimination
13. Three of the elements defining data quality: accuracy, completeness, and consistency
14. Major Tasks in Data Preprocessing
15.Data Cleaning
16.Data Transformation Strategies
17.Discretization by Cluster, Decision Tree,
and Correlation Analyses
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