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

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

by Vassilis G. Kaburlasos
     
 

ISBN-10: 3540341692

ISBN-13: 9783540341697

Pub. Date: 07/28/2006

Publisher: Springer Berlin Heidelberg

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

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.

Product Details

ISBN-13:
9783540341697
Publisher:
Springer Berlin Heidelberg
Publication date:
07/28/2006
Series:
Studies in Computational Intelligence Series, #27
Edition description:
2006
Pages:
245
Product dimensions:
9.21(w) x 6.14(h) x 0.63(d)

Table of Contents

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

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