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Learning Classifier Systems in Data Mining (Studies in Computational Intelligence, 125) - Hardcover

 
9783540789789: Learning Classifier Systems in Data Mining (Studies in Computational Intelligence, 125)

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Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains.

The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery.

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9783642097751: Learning Classifier Systems in Data Mining (Studies in Computational Intelligence, 125)

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Hardcover. Condition: new. Hardcover. Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains. The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery. Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783540789789

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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains. The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery. 240 pp. Englisch. Seller Inventory # 9783540789789

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Brings together recent data mining applications of a machine learning techniqueCovers a wide range of domains demonstrating the utility of the Learning Classifier Systems techniqueJust over thirty years after Holland first presented the. Seller Inventory # 4901089

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. Ed(s): Bull, Larry; Bernado-Mansilla, Ester; Holmes, John
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Condition: New. The ability of Learning Classifier Systems (LCS) to solve complex real-world problems is becoming clear. This book brings together work by a number of individuals who demonstrate the good performance of LCS in a variety of domains. Editor(s): Bull, Larry; Bernado-Mansilla, Ester; Holmes, John. Series: Studies in Computational Intelligence. Num Pages: 230 pages, 53 black & white tables, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 157 x 19. Weight in Grams: 512. . 2008. 2008th Edition. hardcover. . . . . Seller Inventory # V9783540789789

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