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