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| 材料类型： | 互联网资源 |
|---|---|
| 文件类型： | 书, 互联网资源 |
| 所有的著者/提供者： |
Sholom M Weiss; et al |
| ISBN: | 0387954333 9780387954332 |
| OCLC号码： | 56192245 |
| 描述： | xii, 237 p. : ill. ; 24 cm. |
| 内容： | 1. Overview of text mining -- 2. From textual information to numerical vectors -- 3. Using text for prediction -- 4. Information retrieval and text mining -- 5. Finding structure in a document collection -- 6. Looking for information in documents -- 7. Case studies -- 8. Emerging directions -- App. Software notes. |
| 责任： | Sholom M. Weiss ... [et al.]. |
| 更多信息： |
摘要：
"Text Mining presents a comprehensive introduction and overview of the field, integrating related topics (such as artificial intelligence and knowledge discovery and data mining) and providing practical advice on how readers can use text-mining methods to analyze their own data. Emphasizing predictive methods, the book unifies all key areas in text mining: preprocessing, text categorization, information search and retrieval, clustering of documents, and information extraction. In addition, it identifies emerging directions for those looking to do research in the area. Some background in data mining is beneficial, but not essential.".
"This authoritative and highly accessible text, written by a team of authorities on text mining, develops the foundation concepts, principles, and methods needed to expand beyond structured, numeric data to automated mining of text samples. Researchers, professionals, and advanced undergraduates and graduates with work and interests in data mining, machine learning, databases, and computational linguistics will find the work an essential resource."--BOOK JACKET.
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添加标签 目的是为 "Text mining : predictive methods for analyzing unstructured information".
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