Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications: 61 (Series In Machine Perception And Artificial Intelligence) - Hardcover
Synopsis
Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools. The various elements are then joined together to solve the initial problem.The benefits of decomposition methodology in data mining include: increased performance (classification accuracy); conceptual simplification of the problem; enhanced feasibility for huge databases; clearer and more comprehensible results; reduced runtime by solving smaller problems and by using parallel/distributed computation; and the opportunity of using different techniques for individual sub-problems.
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Review
The book presents an interesting and pleasant introduction to the topic, which can guide the reader to the knowledge of the existing decomposition methods, and to the choice of those most promising for the problems he has to face.
-- Zentralblatt MATH
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Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications (Machine Perception and Artificial Intelligence).
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Decomposition Methodology For Knowledge Discovery And Data Mining : Theory And Applications
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Decomposition Methodology For Knowledge Discovery And Data Mining : Theory And Applications
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ISBN 13: 9789812560797
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Decomposition Methodology For Knowledge Discovery And Data Mining : Theory And Applications
Published by
World Scientific Publishing Company, 2005
ISBN 10: 9812560793
ISBN 13: 9789812560797
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Hardcover
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Decomposition Methodology For Knowledge Discovery And Data Mining : Theory And Applications
Published by
World Scientific Publishing Company, 2005
ISBN 10: 9812560793
ISBN 13: 9789812560797
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Hardcover
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Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications
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ISBN 10: 9812560793
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Hardback. Condition: New. Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools. The various elements are then joined together to solve the initial problem.The benefits of decomposition methodology in data mining include: increased performance (classification accuracy); conceptual simplification of the problem; enhanced feasibility for huge databases; clearer and more comprehensible results; reduced runtime by solving smaller problems and by using parallel/distributed computation; and the opportunity of using different techniques for individual sub-problems. Seller Inventory # LU-9789812560797
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Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications
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ISBN 10: 9812560793
ISBN 13: 9789812560797
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Gebunden. Condition: New. InhaltsverzeichnisIntroduction to Data Mining Decision Trees Clustering Techniques Ensemble Methods Decomposition Methodology in Data Mining Feature Set Decomposition Space Decomposition Sample Decomposition Function Decompositio. Seller Inventory # 599238081
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Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications
Published by
World Scientific Publishing Co Pte Ltd, SG, 2005
ISBN 10: 9812560793
ISBN 13: 9789812560797
New
Hardcover
Seller: Rarewaves.com UK, London, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools. The various elements are then joined together to solve the initial problem.The benefits of decomposition methodology in data mining include: increased performance (classification accuracy); conceptual simplification of the problem; enhanced feasibility for huge databases; clearer and more comprehensible results; reduced runtime by solving smaller problems and by using parallel/distributed computation; and the opportunity of using different techniques for individual sub-problems. Seller Inventory # LU-9789812560797
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Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications
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ISBN 10: 9812560793
ISBN 13: 9789812560797
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Buch. Condition: Neu. Neuware - Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery from Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools, and then joining them together to solve the initial problem. The benefits of decomposition methodology in data mining include: increased performance (classification accuracy), conceptual simplification of the problem, enhanced feasibility with huge databases, clearer and more comprehensible results, reduced runtime by solving smaller problems and by using parallel/distributed computation, and the opportunity of using different techniques for individual sub-problems. Seller Inventory # 9789812560797