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Rough – Granular Computing in Knowledge Discovery and Data Mining

The book "Rough-Granular Computing in Knowledge Discovery and Data Mining" written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and da...

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Bibliographic Details
Main Author: Stepaniuk, J. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Studies in Computational Intelligence, 152
Subjects:
Computer-aided engineering.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Computer-Aided Engineering (CAD, CAE) and Design.
Mathematical and Computational Engineering.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-540-70801-8
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Table of Contents:
  • I: Rough Set Methodology
  • Rough Sets
  • Data Reduction
  • II: Classification and Clustering
  • Selected Classification Methods
  • Selected Clustering Methods
  • A Medical Case Study
  • III: Complex Data and Complex Concepts
  • Mining Knowledge from Complex Data
  • Complex Concept Approximations
  • IV: Conclusions, Bibliography and Further Readings
  • Concluding Remarks.

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