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