| 书目名称 | Survey of Text Mining II | | 副标题 | Clustering, Classifi | | 编辑 | Michael W. Berry,Malu Castellanos | | 视频video | | | 概述 | Overview of current methods and software for text mining.Experts from academia and industry share their experiences in solving large-scale retrieval and classification problems.Highlights open researc | | 图书封面 |  | | 描述 | As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information. Finding inf- mation for just about any need has never been more automatic—just a keystroke or mouseclick away. While the digitalization and creation of textual materials continues at light speed, the ability to navigate, mine, or casually browse through documents too numerous to read (or print) lags far behind. What approaches to text mining are available to ef?ciently organize, classify, label, and extract relevant information for today’s information-centric users? What algorithms and software should be used to detect emerging trends from both text streamsandarchives?Thesearejustafewoftheimportantquestionsaddressedatthe Text Mining Workshop held on April 28, 2007, in Minneapolis, MN. This workshop, the ?fth in a series of annual workshops on text mining, was held on the ?nal day of the Seventh SIAM International Conference on Data Mining (April 26–28, 2007). With close to 60 applied mathematicians and computer scientists representing universities, industrial corporations, and government laboratories, the workshop f- tured both inv | | 出版日期 | Book 2008 | | 关键词 | Anomaly Detection; Augmented Reality; Classification; Document Clustering; Extensible Markup Language (X | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-84800-046-9 | | isbn_softcover | 978-1-84996-713-6 | | isbn_ebook | 978-1-84800-046-9 | | copyright | Springer-Verlag London 2008 |
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发表于 2025-3-21 19:58:11
