| 书目名称 | Intelligent Text Categorization and Clustering |
| 编辑 | Nadia Nedjah,Luiza Macedo Mourelle,Alberto Ferreir |
| 视频video | |
| 概述 | Recent advances in Text Categorization and Clustering |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are .spam. filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. ..This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.. |
| 出版日期 | Book 2009 |
| 关键词 | Algebra; Bayesian inference; Hypertext; Spam; Text Categorization; algorithm; algorithms; cognition; computa |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-85644-3 |
| isbn_softcover | 978-3-642-09929-8 |
| isbn_ebook | 978-3-540-85644-3Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
发表于 2025-3-21 17:42:08
