Articles liés à Evolutionary Decision Trees in Large-Scale Data Mining
Synopsis
Evolutionary computation.- Decision trees in data mining.- Parallel and distributed computation.- Global induction of univariate trees.- Oblique and mixed decision trees.- Cost-sensitive tree induction.- Multi-test decision trees for gene expression data.- Parallel computations for evolutionary induction.
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Evolutionary Decision Trees in Large-Scale Data Mining (Studies in Big Data)
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Evolutionary Decision Trees in Large-Scale Data Mining (Studies in Big Data)
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Evolutionary Decision Trees in Large-Scale Data Mining (Studies in Big Data)
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Evolutionary Decision Trees in Large-Scale Data Mining (Studies in Big Data, 59)
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Evolutionary Decision Trees in Large-Scale Data Mining
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Evolutionary Decision Trees in Large-Scale Data Mining (Hardcover)
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Springer Nature Switzerland AG, Cham, 2019
ISBN 10 : 3030218503
ISBN 13 : 9783030218508
Neuf
Couverture rigide
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Hardcover. Etat : new. Hardcover. This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. The resulting univariate or oblique trees are significantly smaller than those produced by standard top-down methods, an aspect that is critical for the interpretation of mined patterns by domain analysts. The approach presented here is extremely flexible and can easily be adapted to specific data mining applications, e.g. cost-sensitive model trees for financial data or multi-test trees for gene expression data. The global induction can be efficiently applied to large-scale data without the need for extraordinary resources. With a simple GPU-based acceleration, datasets composed of millions of instances can be mined in minutes. In the event that the size of the datasets makes the fastest memory computing impossible, the Spark-based implementation on computer clusters, which offers impressive fault tolerance and scalability potential, can be applied. This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. cost-sensitive model trees for financial data or multi-test trees for gene expression data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783030218508
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Evolutionary Decision Trees in Large-Scale Data Mining (Studies in Big Data, 59)
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Evolutionary Decision Trees in Large-Scale Data Mining
Edité par
Springer, 2019
ISBN 10 : 3030218503
ISBN 13 : 9783030218508
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Evolutionary Decision Trees in Large-Scale Data Mining
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Evolutionary Decision Trees in Large-Scale Data Mining
Edité par
Springer International Publishing Jun 2019, 2019
ISBN 10 : 3030218503
ISBN 13 : 9783030218508
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. The resulting univariate or oblique trees are significantly smaller than those produced by standard top-down methods, an aspect that is critical for the interpretation of mined patterns by domain analysts. The approach presented here is extremely flexible and can easily be adapted to specific data mining applications, e.g. cost-sensitive model trees for financial data or multi-test trees for gene expression data. The global induction can be efficiently applied to large-scale data without the need for extraordinary resources. With a simple GPU-based acceleration, datasets composed of millions of instances can be mined in minutes. In the event that the size of the datasets makes the fastest memory computing impossible, the Spark-based implementation on computer clusters, which offers impressive fault tolerance and scalability potential, can be applied. 192 pp. Englisch. N° de réf. du vendeur 9783030218508
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