| 书目名称 | Feature Selection for Data and Pattern Recognition |
| 编辑 | Urszula Stańczyk,Lakhmi C. Jain |
| 视频video | |
| 概述 | Recent research trends in feature selection for data and pattern recognition.Points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, t |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. .Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. .This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.. |
| 出版日期 | Book 2015 |
| 关键词 | Computational Intelligence; Data Recognition; Feature Selection; Intelligent Systems; Pattern Recognitio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-45620-0 |
| isbn_softcover | 978-3-662-50845-9 |
| isbn_ebook | 978-3-662-45620-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2015 |
发表于 2025-3-21 19:42:16
