9783540223702 - evolutionary computation in data mining: 163 (14 risultati)
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, GermaniaVersandbuchhandlung Kisch & Co.
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Gebundene Ausgabe. Condizione: 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) proce…ss. 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.
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Che & Chandler Versandbuchhandlung, Fürstenberg OT Blumenow, GermaniaChe & Chandler Versandbuchhandlung
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Gebundene Ausgabe. Condizione: 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) proce…ss. 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.
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 117,16
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Condizione: New. In.
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 288.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 ex…tracts 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).
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 187,44
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Berlin : Springer, 2005
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Condizione: gut. 2005. Evolutionary computation in data mining. Studies in fuzziness and soft computing ; Vol. 163 In deutscher Sprache. pages.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Okt 2004, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, w…hich 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.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art in the area of Data Mining and Knowledge Discovery with Evolutionary AlgorithmsDemonstrates how the different tools of evolutionary computation can be used for solving real-life problems in… data mining and bioinformaticsDa.
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 154,81
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Condizione: New. Print on Demand pp. 288 Illus.
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 154,73
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Condizione: New. PRINT ON DEMAND pp. 288.
Lingua: Inglese
Editore: Springer, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 95,70
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Buch. Condizione: Neu. Evolutionary Computation in Data Mining | Ashish Ghosh | Buch | Studies in Fuzziness and Soft Computing | xviii | Englisch | 2004 | Springer | EAN 9783540223702 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbiete…r: preigu Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Okt 2004, 2004
Serie: Studies in Fuzziness and Soft Computing, Libro 13 di 183. Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.
