Pattern Mining with Evolutionary Algorithms
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Beschreibung
Covers the use of Evolutionary Computation techniques to pattern mining problems Uses algorithms that have been integrated into the well-known WEKA software for free use Offers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process Includes supplementary material: sn.pub/extras
Autor*in
Sebastián Ventura
Themen in »Pattern Mining with Evolutionary Algorithms«
Pattern Mining Association Rule Mining Frequent Pattern Mining Infrequent Pattern Mining Evolutionary Algorithms Exceptional relationships Pattern mining quality measures Subgroup discovery Genetic Algorithms Genetic Programming Multi-objective Evolutionary Algorithms Hybrid Algorithms Continuous Patterns Negative Association Rules Supervised Local Search
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“Pattern Mining with Evolutionary Algorithms provides an overview of methods using evolutionary algorithms for discovering interesting patterns. The book is very useful and can potentially attract more people to carry out research and applications in pattern mining using evolutionary algorithms. … I found it easy to read, well-written and well-structured, very beneficial and important for readers to develop substantial learning. In view of this, I strongly recommend this valuable book.” (Bing Xue, Genetic Programming and Evolvable Machines, Vol. 18, 2017)
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