Methodology of Application

  • Oded Maimon
  • Mark Last
Part of the Massive Computing book series (MACO, volume 1)


As mentioned in Chapter 1 above, the goal of the information-theoretic methodology, presented in this book, is to automate the entire process of knowledge discovery. Though this is a first attempt to create a unified framework for most KDD stages, we are far from providing a “turn-key” solution to such a complex problem as building models of knowledge from data. The information-theoretic techniques, presented here, and their results (in the form of networks, rules, predictions, etc.) are just a part of a larger process, which is aimed at identifying and solving business problems.


Dimensionality Reduction Target Attribute Input Attribute Nominal Attribute Data Mining Algorithm 


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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Oded Maimon
    • 1
  • Mark Last
    • 2
  1. 1.Tel-Aviv UniversityTel-AvivIsrael
  2. 2.University of South FloridaTampaUSA

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