Course curriculum

  • 1

    Chapter 1 (Prof Dr Prasenjit Kundu)

    • 1.Data Mining Basic
  • 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
  • 3

    Chapter 3 (Prof Dr Prasenjit Kundu)

    • 1.WEKA Introduction
  • 4

    Chapter 4 (Prof Dr Prasenjit Kundu)

    • 1.WEKA Visualization
  • 5

    Chapter 5 (Prof Dr Prasenjit Kundu)

    • 1.Attribute Orientated Analysis
  • 6

    Chapter 6 (Prof Dr Prasenjit Kundu)

    • 1.Associative Rule Mining
  • 7

    Chapter 7 (Prof Dr Prasenjit Kundu)

    • 1.1R Algorithm
    • 2.IR Algorithm 2
  • 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