CS522 Advanced Database Systems

Winter 2011

Lectures	TR 9:50am - 11:30am
Room	E&T A210
Instructor	Chengyu Sun, csun@calstatela.edu
Office Hours	TR 2-4pm, in E&T A317

Announcements

3/9 - Office hours on 3/10 will be changed to 3:00pm to 4:30pm.
3/9 - The final will be in E&T A406.
3/7 - Final will be from 8:30am to 10:30am on Thursday, March 17. The room is TBD.
2/2 - Midterm will be from 9:50am to 11:20am on Thursday, February 10 in E&T A210.

Lecture Notes	Assignments
Syllabus Course Overview (ppt) (pdf) (video) Introduction to Data Warehouse and OLAP (ppt) (pdf) (video1) (video2) Data Cube Computation (ppt) (pdf) (video1) (video2) Mining Frequent Patterns (ppt) (pdf) (video1) (video2) (video3) (video4) Classification: Basic Concepts and Decision Trees (ppt) (pdf) (video1) (video2) Classification: Rule-based Classifiers (ppt) (pdf) (video) Classification: Bayesian Classifiers (ppt) (pdf) (video) Classification: Evaluation and Comparison of Classifiers (ppt) (pdf) (video) Classification: Introduction to Artificial Neural Network (ppt) (pdf) (video) Classification: Introduction to Support Vector Machine (ppt) (pdf) (video) Classification: Other Methods and Linear Regression (ppt) (pdf) (video) Classification: Ensemble Methods (ppt) (pdf) (video) Clustering: Basic Concepts and Distance Measures (ppt) (pdf) (video) Clustering: K-Means (ppt) (pdf) (video) Clustering: Hierarchical Methods (ppt) (pdf) (video) Clustering: Density-Based Methods (ppt) (pdf) (video) Clustering: Model-Based Methods (ppt) (pdf) (video) Clustering: Cluster Evaluation (ppt) (pdf) (video)	Homework 1 Due: Friday, January 21 Homework 2 Due: Wednesday, February 2 Homework 3 Due: Wednesday, February 23 Homework 4 Due: Friday, March 11
Additional Course Materials	Exams
CS3 Server Information	Midterm