| 書目名稱 | Learning Classifier Systems in Data Mining |
| 編輯 | Larry Bull,Ester Bernadó-Mansilla,John Holmes |
| 視頻video | http://file.papertrans.cn/583/582709/582709.mp4 |
| 概述 | Brings together recent data mining applications of a machine learning technique.Covers a wide range of domains demonstrating the utility of the Learning Classifier Systems technique.Includes supplemen |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | .Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains. ..The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery.. |
| 出版日期 | Book 2008 |
| 關(guān)鍵詞 | classification; clustering; cognition; data mining; evolution; evolutionary computation; fuzzy logic; knowl |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-78979-6 |
| isbn_softcover | 978-3-642-09775-1 |
| isbn_ebook | 978-3-540-78979-6Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2008 |
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-13 03:00
發(fā)表于 2025-3-21 17:28:49
