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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.
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Previews available in: English
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1
The text mining handbook: advanced approaches in analyzing unstructured data
2007, Cambridge University Press
in English
0521836573 9780521836579
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2
The Text Mining Handbook
2007, Cambridge University Press
E-book
in English
0511331851 9780511331855
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3
The text mining handbook: advanced approaches in analyzing unstructured data
2006, Cambridge University Press
in English
0521836573 9780521836579
|
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Libraries near you:
WorldCat
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Includes bibliographical references and index.
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- Created April 1, 2008
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