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Pattern Mining with Evolutionary Algorithms book cover by Sebastián Ventura, José María Luna
Hardcover

Pattern Mining with Evolutionary Algorithms

by Sebastián Ventura and José María Luna

$96.79 / copy at 25+ copies As low as $94.59 at 100+Your best volume price

Total $2,419.75

Hardcover · 190 pages Springer International Publishing · 2016

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About the book

Pattern Mining with Evolutionary Algorithms

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions.

This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns.

A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patternssatisfies two essential conditions: interpretability and interestingness. 
   


The book, Pattern Mining with Evolutionary Algorithms [Bulk, Wholesale, Quantity] ISBN#9783319338576 in Hardcover by Sebastián Ventura, José María Luna may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer International Publishing
Authors
Sebastián Ventura, José María Luna
Format
Hardcover
Published
Jun 21, 2016
ISBN-13
9783319338576
Pages
190
Printing
Printed on demand
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Pattern Mining with Evolutionary Algorithms in bulk: pricing

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CopiesPrice per copyYou save
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50 – 99 $95.69 13% off list
100+ $94.59 14% off list
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