Data Mining and Document Modeling

Timo Honkela
Neural Networks Research Centre
Helsinki University of Technology
P.O.Box 2200, 02015 HUT
email: Timo.Honkela@hut.fi
WWW: http://nucleus.hut.fi/tho

• Introduction
• Data Mining Techniques
  • Rule and Decision Tree Induction
  • Statistical Techniques
  • Visualization
  • Clustering
  • Projection
  • Self-Organizing Map
• Problems with the Data
• Application example:
  Data Mining of Pharmaceutical Data
  • Types of Patterns that may be Identified through Data Mining
• Textual Data Mining and WEBSOM
• Final Remarks