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Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications: 27 (Studies in Computational Intelligence, 27) - Hardcover
Synopsis
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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Towards a Unified Modeling and Knowledge-representation Based on Lattice Theory Proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. This book emphasizes on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. Full description
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By ‘model’ we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains. 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 is shown how rigorous analysis and design can be pursued in soft computing using conventional (hard computing) methods. Moreover, non-Turing computation can be pursued. The material here is multi-disciplinary based on our on-going research published in major scientific journals and conferences. Experimental results by various algorithms are demonstrated extensively. Relevant work by other authors is also presented both extensively and comparatively.
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- PublisherSpringer
- Publication date2006
- ISBN 10 3540341692
- ISBN 13 9783540341697
- BindingHardcover
- LanguageEnglish
- Number of pages267
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Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory
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Springer Berlin Heidelberg, 2006
ISBN 10: 3540341692
ISBN 13: 9783540341697
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Gebunden. Condition: New. Presents novel tools and useful perspectives for effective pattern classification and function approximation problems based on disparate types of dataIntroduces useful novel tools, which have the potential to cross-fertilize various techniq. Seller Inventory # 4888040
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Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory : Computational Intelligence and Soft Computing Applications
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2006
ISBN 10: 3540341692
ISBN 13: 9783540341697
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Buch. Condition: Neu. Neuware - By 'model' we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains. 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 is shown how rigorous analysis and design can be pursued in soft computing using conventional (hard computing) methods. Moreover, non-Turing computation can be pursued. The material here is multi-disciplinary based on our on-going research published in major scientific journals and conferences. Experimental results by various algorithms are demonstrated extensively. Relevant work by other authors is also presented both extensively and comparatively. Seller Inventory # 9783540341697
Quantity: 2 available