CS454 Topics in Advanced Computer Science

Summer 2009

Lectures M 6:10pm - 10:00pm
E&T A331
Chengyu Sun, csun@calstatela.edu
Office Hours
MTR 3-5pm, or by appointment, in E&T A317

  • FINAL will be from 7:30pm to 9:30pm on Monday, August 31 in E&T A220.
  • MIDTERM will be from 6:10pm to 8:10pm on Monday, July 27 in E&T A220.
Lecture Notes
Administrative Issues
Introduction to Data Mining (ppt) (pdf)

2 More Data Mining Algorithms (ppt) (pdf)
Web Usage Mining (ppt) (pdf)

3 Mining Navigation History for Recommendation (ppt)
Effective Personalization Based on Association Rule Discovery from Web Usage Data (ppt)
Mining Web Usage Data for Discovering Navigation Clusters (ppt)
Jigar, Abhishek
Yuri, Armen
4 Discovery of Interesting Usage Patterns from Web Data (ppt)
Mining Patterns of Events in Students' Teamwork Data (ppt)
Urvashi, Abhijeet, Ameya
Ankur, Pratik
5 Efficient and Anonymous Web-Usage Mining for Web Personalization (ppt) Jwalant, Ansuya, Smith
6 Midterm
7 A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis (ppt) Michael, Aspet
8 Learning Browsing Patterns for Context-Aware Recommendation (ppt)
Smart Miner: A New Framework for Mining Large Scale Web Usage Data (ppt)
Pallavi, Haritha
Jonathan, Wen-Han
9 Introduction to NVIDIA CUDA (ppt) (pdf) (code)
More Data Mining Algorithms (ppt) (pdf)

Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance (ppt)
Parallel Data Mining on Graphics Processors (ppt)
Gaurang, Pratyush, Alexandre, Natalya
Grady, Guanhua
11 Final