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Rough Set Methods and Applications

- New Developments in Knowledge Discovery in Information Systems

Bag om Rough Set Methods and Applications

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783662003763
  • Indbinding:
  • Paperback
  • Sideantal:
  • 683
  • Udgivet:
  • 16. november 2000
  • Udgave:
  • 12000
  • Størrelse:
  • 235x155x35 mm.
  • Vægt:
  • 1050 g.
  • BLACK WEEK
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Leveringstid: 8-11 hverdage
Forventet levering: 13. december 2024
Forlænget returret til d. 31. januar 2025

Beskrivelse af Rough Set Methods and Applications

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

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