344-662 Data Warehouse and Data Mining
Class :
Wed
9.00-12.00 AM
CS 205
Evaluation :
Midterm 30% Final 40%
Term Project 20 % Assignment 10 %
Course Syllabus
Chapter 1 Introduction
Chapter 2 Data Warehouse
Chapter 3 Data Mining
Chapter 4 Basic Data Mining Technique
Chapter 5 Data Mining a Closer Look
Chapter 6 Cross Validation
Chapter 7 Decision tree
Chapter 8 Association Rules
Chapter 9
The
K-means Algorithm
Chapter 10 Neural Networks
Chapter 11 Statistical Method
Chapter 12 Rule Based Systems
Paper data warehouse
WEKA