Data Mining

Course Readings

Introduction; 8/26

Chapter 1 Data Warehousing; 9/9 Chapter 2 Intro to SPSS/Clementine; 9/16 tba Data Preprocessing; 9/23 Chapter 3 Data Mining Primitives; 9/30 Chapter 4 Concept Description; 10/7 Chapter 5; Paper 1 due today Mining Association Rules; 10/14 Chapter 6 Classification; 10/21 Chapter 7 Advanced SPSS/Clementine; 10/28 tba; Paper 2 due today No class meeting - NCGIA Workshop; 11/4
Cluster Analysis; 11/11 Chapter 8 Complex data types; 11/18 Chapter 9 Applications; 11/25 Chapter 10; Paper 3 due today Discussion; 12/2 Readings drawn from current KD projects, such as
    - UIC Terabyte Data Mining Project
Class Presentations; 12/9 Final Paper due today