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