| 書目名稱 | Pattern Mining with Evolutionary Algorithms |
| 編輯 | Sebastián Ventura,José María Luna |
| 視頻video | http://file.papertrans.cn/743/742524/742524.mp4 |
| 概述 | 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 abou |
| 圖書封面 |  |
| 描述 | 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 patt |
| 出版日期 | Book 2016 |
| 關鍵詞 | Pattern Mining; Association Rule Mining; Frequent Pattern Mining; Infrequent Pattern Mining; Evolutionar |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-33858-3 |
| isbn_softcover | 978-3-319-81618-0 |
| isbn_ebook | 978-3-319-33858-3 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手機版|小黑屋|
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