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Lecture 3 - What Kinds of Patterns Can Be Mined? - Data Mining
Description: Topics Covered:
1: Class/Concept Description: Characterization and Discrimination
2: Mining Frequent Patterns, Associations, and Correlations
3: Classification and Regression for Predictive Analysis
4: Classification model(1.9)
5: Cluster Analysis
6: clustering (fig 1.10)
7: Outlier Analysis
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