Author

Contributions

  • Sanger, James, 1965- - Contributor

Publication

2006 - Cambridge University Press, New York, New York (State)

Language

English

Word Count

102,500 words, Guess

Page Count

410 pages

Identifiers

and 2 more
  • LibraryThing2160665
  • Goodreads893219

Classifications

  • DDC005.74
  • LCCQA76.9.D343 F45 2006

Description

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection CfI a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining CfI also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

Subjects

Topics

Genres

  • Handbooks, manuals, etc.

Other Editions

  • The text mining handbook: advanced approaches in analyzing unstructured dataCambridge University Press2006-01-01

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