Studies in Big Data

Evolutionary Decision Trees in Large-Scale Data Mining

Authors: Krętowski, Marek

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  • Sums up the authors research conducted over the last 15 years on the evolutionary induction of decision trees
  • Discusses some basic elements from three domains are discussed, all of which are necessary to follow the proposed approach: evolutionary computations, decision trees, and parallel and distributed computing
  • Presents in detail an evolutionary approach to the induction of decision trees 
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Hardcover $149.99
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About this book

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.


Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-030-21851-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-21850-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Decision Trees in Large-Scale Data Mining
Authors
Series Title
Studies in Big Data
Series Volume
59
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-21851-5
DOI
10.1007/978-3-030-21851-5
Hardcover ISBN
978-3-030-21850-8
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XI, 180
Number of Illustrations
69 b/w illustrations
Topics