Seller: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, Germany
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Add to basketGebundene Ausgabe. Condition: Neu. Neu Neuware; teils original eingeschweisst; Rechnung mit MwSt.; new item, still sealed; -Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation). 288 pp. Englisch.
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Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 320 Illus.
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Add to basketCondition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Published by Springer-Verlag GmbH, 2012
ISBN 10: 3642290655 ISBN 13: 9783642290657
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 253 | Sprache: Englisch | Produktart: Bücher.
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Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642371884 ISBN 13: 9783642371882
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 232 | Sprache: Englisch | Produktart: Bücher.
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Published by Springer-Verlag GmbH, 2010
ISBN 10: 3642122108 ISBN 13: 9783642122101
Language: English
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Published by Springer-Verlag GmbH, 2009
ISBN 10: 3642011837 ISBN 13: 9783642011832
Language: English
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Published by Springer-Verlag GmbH, 2011
ISBN 10: 3642203884 ISBN 13: 9783642203886
Language: English
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Published by Springer Berlin Heidelberg, 2009
ISBN 10: 3642025404 ISBN 13: 9783642025402
Language: English
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Published by VDM Verlag Dr. M�ller, 2011
ISBN 10: 3639362799 ISBN 13: 9783639362794
Language: English
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Condition: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642261256 ISBN 13: 9783642261251
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future.
Published by Springer, 1993
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Add to basketSoft cover. Condition: New. ISBN:9783540717829.