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Text Data Mining


Using Information Extraction to Aid the Discovery of Prediction Rules from Text.
Un Yong Nahm and Raymond J. Mooney
Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining (KDD-2000) Workshop on Text Mining 2000. 51 - 58 Boston.

Text-Mining the CLCS Web Site.
McNemar, C.
1998.
http://research.ivv.nasa.gov/~mcnemar/report.htm

Text mining: Natural language techniques and text mining applications.
Rajman, M. & Besançon, R.
IFIP. Chapman & Hall. 1997.

Mining Associations in Text in the Presence of Background Knowledge.
Ronen Feldman and Haym Hirsh.
Mining Associations in Text in the Presence of Background Knowledge.1996. 343-346.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD96).


Mining Associations in Text in the Presence of Background Knowledge.
Marti A. Hearst. Proceedings of ACL'99: the 37th Annual Meeting of the Association for Computational Linguistics, University of Maryland.
to appear June, 1999 20-26.


Text data mining concerns the application of data mining (knowledge discovery in databases, KDD) to unstructured textual data. The goal of data mining is to discover or derive new information from data, finding patterns across datasets, and/or separating signal from noise. Core text mining algorithms decompose text in meaningful chunks that can then be used for true data mining purposes.


TDM; TM; DM;

Text Mining; Data Mining;