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SolEuNet: Selected Data Mining Techniques and Applications

  • Nada Lavrač
Conference paper
  • 1.6k Downloads
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Data mining is concerned with the discovery of interesting patterns and models in data. In practice, data mining has become an established technology with applications in a wide range of areas that include marketing, health care, finance, environmental planning, up to applications in e-commerce and e-science. This paper presents selected data mining techniques and applications developed in the course of the SolEuNet 5FP IST project Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise (2000–2003).

Keywords

Coronary Heart Disease Data Mining Positive Family History Data Mining Technique Coronary Heart Disease Risk Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer Berlin · Heidelberg 2006

Authors and Affiliations

  • Nada Lavrač
    • 1
    • 2
  1. 1.Jožef Stefan InstituteLjubljanaSlovenia
  2. 2.Nova Gorica PolytechnicNova GoricaSlovenia

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