Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications / Edition 1

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Overview

This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. The material is multi-disciplinary based on on-going research published in major scientific journals and conferences.

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Product Details

  • ISBN-13: 9783540341697
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 7/28/2006
  • Series: Studies in Computational Intelligence Series , #27
  • Edition description: 2006
  • Edition number: 1
  • Pages: 245
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.63 (d)

Table of Contents

Part I: The Context.- Origins in Context.- Relevant Literature Review.- Part II: Theory and Algorithms.- Novel Mathematical Background.- Real-World Grounding.- Knowledge Representation.- The Modeling Problem and its Formulation.- Algorithms for Clustering, Classification, and Regression.- Part III: Applications and Comparisons.- Numeric Data Applications Nonnumeric Data Applications.- Connections with Established Paradigms.- Part IV: Conclusion.- Implementation Issues.- Discussion.

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