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Mathematical Tools for Data Mining

- Set Theory, Partial Orders, Combinatorics

About Mathematical Tools for Data Mining

Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc.

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  • Language:
  • English
  • ISBN:
  • 9781447164067
  • Binding:
  • Hardback
  • Pages:
  • 831
  • Published:
  • April 8, 2014
  • Edition:
  • 22014
  • Dimensions:
  • 239x164x49 mm.
  • Weight:
  • 1394 g.
Delivery: 2-3 weeks
Expected delivery: January 11, 2025
Extended return policy to January 30, 2025
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Description of Mathematical Tools for Data Mining

Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc.

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