Text mining at the term level-Reference-Cited by-同舟云学术

Text mining at the term level

Published:1998 Issue: Volume: Page:65-73
ISSN:0302-9743
Container-title:Principles of Data Mining and Knowledge Discovery
language:
Short-container-title:

Author:

Feldman Ronen,Fresko Moshe,Kinar Yakkov,Lindell Yehuda,Liphstat Orly,Rajman Martin,Schler Yonatan,Zamir Oren

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/BFb0094806

Reference24 articles.

1. Anand, T.; Kahn, G.: Opportunity Explorer: Navigating Large Databases Using Knowledge Discovery Templates. In: Proceedings of the 1993 workshop on Knowledge Discovery in Databases, (1993).

2. Bookstein, A.; Klein, S.T.; Raita, T.: Clumping Properties of Content-Bearing Words. In: Proceedings of International Conference on Research and Development in Information Retrieval (SIGIR), (1995).

3. Brachman, R.J.; Selfridge, P.G.; Terveen, L.G.; Altman, B.; Borgida, A.; Halper, F.; Kirk, T.; Lazar, A.; McGuinness, D.L.; Resnick, L.A.: Integrated Support for Data Archaeology. International Journal of Intelligent and Cooperative Information Systems, (1993)2(2):159–185.

4. Brill, E.: Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Computational Linguistics, (1995) 21(4):543–565.

5. Church, K.W.; Hanks, P.: Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, (1990) 16(1):22–29.

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