| 书目名称 | Foundations of Computational Intelligence |
| 副标题 | Volume 6: Data Minin |
| 编辑 | Ajith Abraham,Aboul-Ella Hassanien,Václav Snášel |
| 视频video | |
| 概述 | Sixth volume of a Reference work on the foundations of Computational Intelligence.Devoted to Data Mining |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an |
| 出版日期 | Book 2009 |
| 关键词 | algorithm; algorithms; bioinformatics; classification; computational intelligence; data mining; decision t |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-01091-0 |
| isbn_softcover | 978-3-642-10167-0 |
| isbn_ebook | 978-3-642-01091-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
发表于 2025-3-21 16:47:01
