Research Catalog

Rough -- granular computing in knowledge discovery and data mining

Title
Rough -- granular computing in knowledge discovery and data mining / Jarosław Stepaniuk.
Author
Stepaniuk, Jarosław.
Publication
Berlin : Springer, ©2008.

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TextUse in library QA76.9.S63 S84 2008Off-site

Details

Description
xii, 158 pages : illustrations; 24 cm.
Summary
"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 data mining (KDD). In the book, the KDD foundations based on the rough set approach and granular computing are discussed together with illustrative applications. In searching for relevant patterns or in inducing (constructing) classifiers in KDD, different kinds of granules are modeled. In this modeling process, granules called approximation spaces play a special rule. Approximation spaces are defined by neighborhoods of objects and measures between sets of objects. In the book, the author underlines the importance of approximation spaces in searching for relevant patterns and other granules on different levels of modeling for compound concept approximations."--Jacket.
Series Statement
Studies in computational intelligence, 1860-949X ; v. 152
Uniform Title
Studies in computational intelligence, 1860-949X ; v. 152.
Subject
  • Granular computing
  • Rough sets
  • Data mining
  • Data Mining
  • Calcul granulaire
  • Ensembles approximatifs
  • Exploration de données (Informatique)
Bibliography (note)
  • Includes bibliographical references (p. [137]-155) and index.
Contents
1. Introduction -- pt. I. Rough Set Methodology -- 2. Rough Sets -- 3. Data Reduction -- pt. II. Classification and Clustering -- 4. Selected Classification Methods -- 5. Selected Clustering Methods -- 6. A Medical Case Study -- pt. III. Complex Data and Complex Concepts -- 7. Mining Knowledge from Complex Data -- 8. Complex Concept Approximations -- pt. IV. Conclusions, Bibliography and Further Readings -- 9. Concluding Remarks -- A. Further Readings.
ISBN
  • 9783540708001
  • 3540708006
  • 9783540708018
  • 3540708014
  • 3642089720
  • 9783642089725
LCCN
  • 2008931009
  • 10.1007/978-3-540-70801-8
OCLC
  • ocn233933269
  • 233933269
  • SCSB-9177383
Owning Institutions
Princeton University Library