Overview
- Presents recent research in Rough - Granular Computing in Knowledge Discovery and Data Mining
Part of the book series: Studies in Computational Intelligence (SCI, volume 152)
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Table of contents (9 chapters)
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Front Matter
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Introduction
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Part I: Rough Set Methodology
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Front Matter
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Part II: Classification and Clustering
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Front Matter
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Part III: Complex Data and Complex Concepts
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Front Matter
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Part IV: Conclusions, Bibliography and Further Readings
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Front Matter
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Back Matter
Keywords
About this book
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 dfferent levels of modeling for compound concept approximations. Calculi on such granules are used for modeling computations on granules in searching for target (sub) optimal granules and their interactions on different levels of hierarchical modeling. The methods based on the combination of granular computing, the rough and fuzzy set approaches allow for an effcient construction of the high quality approximation of compound concepts.
Authors and Affiliations
Bibliographic Information
Book Title: Rough – Granular Computing in Knowledge Discovery and Data Mining
Authors: Jarosław Stepaniuk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-70801-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-70800-1Published: 19 August 2008
Softcover ISBN: 978-3-642-08972-5Published: 28 October 2010
eBook ISBN: 978-3-540-70801-8Published: 29 January 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 162
Topics: Computer-Aided Engineering (CAD, CAE) and Design, Mathematical and Computational Engineering, Artificial Intelligence