Mathematical Tools for Data Mining

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Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorit...
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Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorit...
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  • Formats: pdf
  • ISBN: 9781447164074
  • Publication Date: 27 Mar 2014
  • Publisher: Springer London
  • Product language: English
  • Drm Setting: DRM