CSE 591 DATA MINING
(January 20 - May 4, Spring 2004)
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
Qualified and interested graduate students are welcome to join our data
mining group to conduct state-of-the-art research.
OUTLINE
- Introduction
to Data Mining
- Data, data preparation, and data
Preprocessing (Feature Selection, Discretization, Sampling)
- A Brief Review of Probability and
Entropy
- Classification Methods
- Performance Evaluation (Measures,
Comparison)
- Clustering Methods
- Association Rules
- Some Applications
ASSIGNMENTS
- There is a credit for class participation and discussion (See
the home page)
- Assgnments 1 and 2 are stated in the first set of slides
- Class presentation, Papers, Schedule
- Project proposal presentation (Project
Categories)
- Project progress report (Due on
3/23 Tue, brief presentation on 3/25 Thur)
- Project presentation (Due on
4/15 Thur [please submit the URL links to Jigar], Schedule)
- Every student will have 15 minutes to present his project
inlucding 2 minutes for Q/A
- 12-15 slides will be usually sufficient for this type of
presentation
- Project final report (Due on
4/29 Thur) and demo
Invited talk 1 on Feature
Selection and Its Applications on
Genomic Data by Lei Yu, March 9, Tuesday.
Invited talk 2 on Subspace Clustering Methods
by Lance Parsons, May 4, Tuesday.
EXAM
- There is one exam to be held
on April 27, Tuesday.
LINKS
Prepared by Huan Liu
on Jan.. 20, 2004
Last updated: April 6, 2004