Lecture #1

• Course Description and Introduction to Data Mining
  Tuesday, January 13, 1998
  Lecture Slides
  
  Here are some reading materials about successful data mining systems:
  
  • DIAMOND and Ice: Visual Exploratory Data Analysis Tools
    
  • The Harvest Information Discovery System
  • Visualization of association rules
  • An example of a visualization interface to a DBMS and here are some more examples.
  
  More examples provided in class using
  • The BACON scientific discovery program (P. Langley, H.A. Simon and G.L. Bradshaw, Heuristics for Empirical Discovery, Readings in Machine Learning, J.M. Shavlik and T.G. Dietterich (Eds.), pages 356-372, Morgan Kaufmann.)
  • Applications of data mining to relational database tables (see S. Dzeroski, Inductive Logic Programming and Knowledge Discovery in Databases, Advances in Knowledge Discovery and Data Mining, U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy (Eds.), pages 117-119, AAAI/MIT Press.)