Data mining knowledge discovery di freitas alex (28 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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    Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

  • Lingua: Inglese

    Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2002

    3540433317 / 9783540433316

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    Hardcover. Condizione: new. Hardcover. This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a review of both data mining and EAs and discusses significant advances in the integration of these two areas. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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  • Lingua: Inglese

    Editore: Springer, 2012

    3642077633 / 9783642077630

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  • Lingua: Inglese

    Editore: Springer, 2002

    3642077633 / 9783642077630

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    Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9783642077630.

  • Lingua: Inglese

    Editore: Springer, 2012

    3642077633 / 9783642077630

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  • Lingua: Inglese

    Editore: Springer, 2012

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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  • Lingua: Inglese

    Editore: Springer Spektrum, 2012

    3642077633 / 9783642077630

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    EUR 114,00

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.…

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.…

  • Lingua: Inglese

    Editore: Springer, 2012

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    Condizione: New. pp. 280.

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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    Condizione: New. pp. 280.

  • Lingua: Inglese

    Editore: Springer Verlag, 2011

    3642077633 / 9783642077630

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    EUR 157,64

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    Paperback. Condizione: Brand New. reprint edition. 264 pages. 8.75x6.00x0.75 inches. In Stock.

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    Lingua: Inglese

    Editore: Springer, 2012

    3642077633 / 9783642077630

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    EUR 95,25

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    Taschenbuch. Condizione: Neu. Data Mining and Knowledge Discovery with Evolutionary Algorithms | Alex A. Freitas | Taschenbuch | Natural Computing Series | xiv | Englisch | 2012 | Springer | EAN 9783642077630 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2002

    3540433317 / 9783540433316

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    Hardcover. Condizione: new. Hardcover. This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a review of both data mining and EAs and discusses significant advances in the integration of these two areas. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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    EUR 184,71

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    Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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  • Lingua: Inglese

    Editore: Springer, 2012

    3642077633 / 9783642077630

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    Condizione: new. Questo è un articolo print on demand.

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg Mrz 2012, 2012

    3642077633 / 9783642077630

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible and interesting knowledge, which is potentially useful to the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowledge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. This book presents a comprehensive review of basic concepts on both data mining and evolutionary algorithms and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics. This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics 280 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg Aug 2002, 2002

    3540433317 / 9783540433316

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics 280 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, 2002

    3540433317 / 9783540433316

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs an.…

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, 2012

    3642077633 / 9783642077630

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs an. …

  • Lingua: Inglese

    Editore: Springer, 2012

    3642077633 / 9783642077630

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    Condizione: New. Print on Demand pp. 280 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

  • Lingua: Inglese

    Editore: Springer, Springer Aug 2002, 2002

    3540433317 / 9783540433316

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    EUR 106,99

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, Springer Mär 2012, 2012

    3642077633 / 9783642077630

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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    Condizione: New. Print on Demand pp. 280 Illus.

  • Lingua: Inglese

    Editore: Springer, 2012

    3642077633 / 9783642077630

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    Condizione: New. PRINT ON DEMAND pp. 280.

  • Lingua: Inglese

    Editore: Springer, 2002

    3540433317 / 9783540433316

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    Condizione: New. PRINT ON DEMAND pp. 280.