EE 380L : Data Mining

Fall 2001
Prof. Joydeep Ghosh
NEWS
I. Course Information II. References III. Weka and other tools
IV. Free Software V. Some Topics VI. Datasets

I. Course information
Information
Course descriptor
Topics/Schedule
TA: Shi Zhong
Email: szhong@ece.utexas.edu
Office hours: TTH 5:00pm-6:00pm, ENS 402
Class Presentation Schedule
Project Proposals & Schedule

II. References
  1. Reading List 1 (also in the course notes)
  2. Reading List 2
  3. Enterprise Miner Manual (Online)
  4. SAS Online Tutorial
  5. Introduction to OLE DB for Data Mining
  6. Citeseer at NEC

III. Tools

IV. Free Software/Libraries

V. Some topics
Visualization
  • Introduction to Visualization: Vis '96 Tutorial
  • GTM (Generative Topographical Mapping)
  • Hierachical Probabilistic PCA
  • CVIZ Manual - IBM SurfAid
    • Data Reduction
  • Principal Component Analysis (PCA)
  • Synopsis 1
  • Synopsis 2 
  • Notes on Spectral Decomposition
  • MATLAB procedure comparing SVD and PCA
  • Principal Curves (nonlinear)
  • Web-based statistical analyzer
    • Classification
  • ROC curve notes (with figures)
    roc.ps roc.ps.gz roc.zip
  • Support Vector Machines
  • Bayesian Networks
  • Tutorial on Learning Bayesian Networks
  • Bayesian Belief Networks
    • Clustering
  • METIS
    • Miscellaneous
  • EM Algorithm

    • VI. Datasets
    Links (original) Local copy
    1. UCI KDD Archive
    2. UCI Machine Learning databse
    3. Delve
    4. ELENA
    5. PRNN
    6. PROBEN1
    7. StatLib
    8. Statlog
    		LANS benchmarks Datasets
    KDD Sisyphus I Yes
    KDNuggets Datasets
    Financial Time Series Data
    The Data Mine

     

    Last updated 11/2001