CS522 Advanced Database Systems

Winter 2012

Lectures	TR 11:40am - 1:20pm
Room	E&T A210
Instructor	Chengyu Sun, csun@calstatela.edu
Office Hours	M 4-6pm, T 1:30-3:30pm, and R 3-5pm, in E&T A317

Announcements

2/13 - Midterm will be from 11:40pm to 1:20pm on Tuesday, February 21 in E&T A210.
1/31 - Office hours on Thursdays are changed to 3-5pm.
1/23 - Office hours on Thursday 1/26 are canceled.

Lecture Notes	Assignments
Syllabus Course Overview (ppt) (pdf) Introduction to Data Warehouse and OLAP (ppt) (pdf) (video1) (video2) Data Cube Computation (ppt) (pdf) (video1) (video2) (video3) 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) (video1) (video2) 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 Classification Methods (ppt) (pdf) (video1), (video2) Clustering: Basic Concepts and Distance Measures (ppt) (pdf) (video1) (video2) Clustering: K-Means (ppt) (pdf) (video) Clustering: Hierachical Methods (ppt) (pdf) (video) Clustering: Density-Based Methods (ppt) (pdf) (video)	Homework 1 Due: Friday, January 27 Homework 2 Due: Friday, Februrary 3 and Friday, February 10 Homework 3 Due: Friday, Februrary 17 and Friday, February 24 Homework 4 Due: Friday, March 9
Additional Course Materials	Exams
CS3 Server Information	Sample midterm Midterm Final Project Due: Tuesday, March 20