CSI 991

Data Mining

Fridays 3:00pm -- 5:00pm, Innovation Hall, Room 133

CSI 991
Spring: Section 004
Summer: Section X01

Contacts:
csutton@gmu.edu
jgentle@gmu.edu

The main reference text will continue to be The Elements of Statistical Learning by Hastie, Tibshirani, and Friedman (HTF).

Some links on this page are available only to members of the seminar group.

Members Enter

Schedule

• Jan 21

• Jan 28

• Feb 4

• Feb 11

• Feb 18 Cliff's Notes

• Feb 25 Cliff's Notes
  Li's work on the experiment mentioned on p17 of HTF

• Mar 4 Cliff's Notes
  Discuss the Boston housing data:
  Jill's writeup
  training data
  test data

• Mar 11 Cliff's Notes
  

• Mar 18 Spring Break

• Mar 25
  Presentation by Nan Chen on regression strategies for classification.

• Apr 1
  Presentation by Muna on impact of similarity measures on clustering.
  Reference: paper by Strehl, Ghosh, and Mooney.

  Follow-up discussion of Nan's presentation.

• Apr 8
  Further discussion of Nan's regression study.
  Presentation by Jill on an alternative method of regression.
  Further discussion of Strehl et al. paper on impact of similarity measures; Cliff's Notes.

• Apr 15
  Chapter 4 of HTF
  Presentation by Li Li comparing effectiveness of some methods of Chapter 4 with other methods she previously studied.

• Apr 22
  Announcement
  Seminar by Andreas Buja, 10:30 am, SUB II, room 4
  Degrees of Boosting -- A Study of Loss Functions for Classification and Class Probability Estimation
  Preliminary version of paper

• Apr 29

• May 6

• May 13
  No meeting.

• May20
  Discussion of election data (from Harrell).

• May 27
  More experimentation with the election data.
  Li Li has made two subsets of this data:
  
  • training set
  • test set
    
  "y" is response variable in both sets.

• June 3
  

• June 10
  No meeting.

• June 17
  

• June 24
  Cliff's Notes