Evolutionary Decision Trees in Large-Scale Data Mining
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 a...
Main Author: | |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Edition: | 1st ed. 2019. |
Series: | Studies in Big Data,
59 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.