CSE 591 DATA MINING

(August 21 - December 5, 2000, Fall)

I hear, I forget; I see, I remember; I do, I understand. - Proverb

Your suggestions are most welcome. Please send email to hliu@asu.edu

Data Mining and Its Impact, 1
Classification Methods (ID3, Nearest Neighbor, NBC, Neural Networks), 3
Performance Evaluation, (Measures, Comparison), 2
Data Preprocessing (Feature Selection, Discretization, Sampling), 3
Clustering Methods (K-Means/EM, COBWEB, BIRCH), 2
Association Rules (APRIORI, Parallel, Multi-Level), 3
Data Warehousing (Schema, Data Cube, Data Marting), 2
Semi-Structured Data (XML, RDF), 2
Web Mining (Search, Mining), 2
Applications (Customer Retention, Motorola Case Study (invited talk by Mike Gardner on Nov 1, 2000)), 2, 22

Readings (There is a 10% credit for class participation)

ASSIGNMENT

Proposal due on 9/18/00
Proposal Presentation on 9/20/00
Every student should prepare no more than 3 slides and will make a 5-minute presentation

Deadline for your email submission of the links to your presentation slides: 11/20 Monday, 5:00pm
The presentation sequence will be first-submit-last-present as we did in the proposal presentations
Each student will have 15 minutes for presentation and 3 minutes for Q&A
If anyone wishes to present earlier (on 11/20), we can try to arrange 2 presentations.
If necessary, we may arrange an extra presentation slot on 12/1 Friday as we have 18 students.

You're welcome to discuss with the instructor about your project ideas.

Self-proposing: solving a suitable problem from design to implementation
Establishing a mining environment for the course: installation and maintenance
Survey of journal quality on a sub-field related to data mining
Challenging problems and applications of data mining: identification and possible solutions

The length (or number of pages) is not an issue. A concise technical report is preferred.
It is a concise and self-contained write-up such that another student can read it and carry out the work.
It should at a minimum include (1) the description of your project (2) the technical details (3) significance, usefulness, or impact (4) findings or results (5) future work.
For an implementation related project, you need to include a brief manual of how-to-use/development.
You should try to convey all your efforts on the project in the report in a simple manner.

There are about 7 quizzes and no exams (35%).
If you're a student taking the class, please sign in so you can be informed of anything related to homework and projects in time.