Course curriculum
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1
Chapter 1 (Prof Dr Prasenjit Kundu)
- 1.Data Mining Basic
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2
Chapter 2 (Prof Dr Prasenjit Kundu)
- 1.dbms1_1
- 2.dbms1_2
- 3.Normalization (FINAL)
- 4. DATA WAREHOUSE_1
- 5.DATA WAREHOUSE_2
- 6.DATA WAREHOUSE_3
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3
Chapter 3 (Prof Dr Prasenjit Kundu)
- 1.WEKA Introduction
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4
Chapter 4 (Prof Dr Prasenjit Kundu)
- 1.WEKA Visualization
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5
Chapter 5 (Prof Dr Prasenjit Kundu)
- 1.Attribute Orientated Analysis
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6
Chapter 6 (Prof Dr Prasenjit Kundu)
- 1.Associative Rule Mining
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7
Chapter 7 (Prof Dr Prasenjit Kundu)
- 1.1R Algorithm
- 2.IR Algorithm 2
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8
Chapter 8 & 9 (Prof Dr Prasenjit Kundu)
- 1.Clustering Basic
- 2.Hierarchical Clustering of Machine Language
- 3.Conceptual Clustering
- 4.Cobweb and Conceptual Clustering