Schedule (tentative)

August
27
  • Introduction and Overview
  • Nature and use of Customer Data
  • Stokes and Ghosh
  • Romanowski (Dell)
  • September
    3
  • SAS Tutorial
  • Introduction to Enterprise Miner
  • Class held in UTC 1.110

  • Start Project 1
  • Bohman (ACITS)
  • Kuiyu (TA)
  • 10
  • Follow-up on SAS, EM 
  • Results Display/Visualization. Lift Charts, Gain Tables, etc.

  • Discuss Project 1
  • Bohman, Kuiyu
  • Stokes
  • 17
  • Variable Selection
  • Clustering and Segmentation I

  • Discuss Project 1
  • Stokes
  • Ghosh
  • 24
  • Market Basket Analysis: Techniques and Results
  • Clustering and Segmentation II

  • Discuss Project 1
  • Mark Davis (KD1)
  • Ghosh
  • October
    1
  • Logistic Regression
  • Advanced Topics on Decision Trees

  • Discuss Project 1
  • Stokes
  • Ghosh
  • 8
  • Paper Presentations I (Gunjan, Fabio, unordered{Chase, Shailesh, Javed})
  • Students
  • 15
  • Paper Presentations II (Michael, Alexander, Amanda, Shi, Rubeena)
  • Combining Multiple Models

  • Conclude Project 1
    Start Project 2
  • Students 
  • Ghosh
  • 22
  • E-commerce
  • Support Vector Machines

  • Discuss Project 2
  • Alex Chien
  • Ghosh
  • 29
  • Information Retrieval/Web Analysis
  • Imputation

  • Discuss Project 2
  • Bollacker
  • Stokes
  • November
    5
  • Surf Aid
  • E-commerce

  • Discuss Project 2
  • David Martin (IBM)
  • Alex S. (Austin Logistics)
  • 12
  • Terrorists Detection
  • Beyond Association Rules

  • Discuss Project 2
  • Marcus (21st Century Tech)
  • Ghosh
  • 19
  • Visualization
  • Sampling in Data Mining

  • Discuss Project 2
  • Inderjit Dhillon
  • Stokes
  • 26 Thanksgiving Holiday
    December
    1 Project 2; Presentations
  • (Wed) 3:00 - 5:00 with Dr. Stokes MBA Data Mining Class
  • 20-25 mins per group
  • Groups
  • 3
  • Scalability Issues

  • Conclude Project 2
  • Ghosh
  • 8 Presentation at DELL (3:30 - 5:00 pm)