CS 7312: Advanced Data Mining

Lecturer: Byron Gao, bgao@txstate.edu, (512)245-0348, Comal 311D
Lectures: Wednesdays 6:30-9:20pm @ Derr 235
Office hours: Mondays noon - 5pm

Textbook: required

Data Mining: Concepts and Techniques, 3rd edition (electronic version available from library)
Jiawei Han, Micheline Kamber and Jian Pei
Morgan Kaufmann, 2011
ISBN: 9780123814791

References: recommended


Grading:  

Academic honesty: Texas State Academic Honor Code

Topics:

  1. Motivation and history
  2. Data warehouse and OLAP technology
  3. Frequent pattern mining and association analysis
  4. Classification and supervised learning
  5. Clustering and unsupervised learning
  6. Information retrieval and web search
  7. Advanced topics and applications

Outline: subject to change

Week Date Topics Readings Notes Events
1 Aug 30 Logistics / Introduction Chapter 1 ch1.pdf  
2 Sep 6 Getting to know your data Chapter 2 ch2.pdf  
3 Sep 13 Classification Chapters 8,9 ch8-9.pdf a1.pdf (due Oct 4 6pm)
4 Sep 20        
5 Sep 27        
6 Oct 4 Clustering Chapters 10,11 ch10-11.pdf a2.pdf (due Oct 18 6pm); gen.exe; input.txt
7 Oct 11 Presentations: neural networks/deep learning/reinforcement learning      
8 Oct 18        
9 Oct 25 Presentations: BIRCH paper/CLIQUE paper/clustering validation      
10 Nov 1 Presentation: privacy-preserving data mining      
11 Nov 8 Frequent pattern and association analysis Chapter 6 ch6.pdf a3.doc (due Nov 29 6pm)
12 Nov 15        
13 Nov 22       Nov 22 Thanksgiving no class
14 Nov 29 Data warehouse and OLAP technology/Information retrieval and web search Chapter 4 ch4.pdf  
15 Dec 6        
16 Dec 13 Final exam 5-7:30pm      

Resources: