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Author Wallace, Linda ♦ Rich, Stephanie ♦ Fan, Weiguo ♦ Zhang, Zhongju
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Sifting through vast collections of unstructured or semistructured data beyond the reach of data mining tools, text mining tracks information sources, links isolated concepts in distant documents, maps relationships between activities, and helps answer questions.
Description Affiliation: University of Connecticut, Stamford, CT (Zhang, Zhongju) || Virginia Polytechnic Institute and State University, Blacksburg, VA (Fan, Weiguo; Wallace, Linda; Rich, Stephanie)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 49
Issue Number 9
Page Count 7
Starting Page 76
Ending Page 82


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Source: ACM Digital Library