Cluster-based text categorization

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Cluster-based text categorization: a comparison of category search strategies

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Seattle, Washington, United States

Pages: 273 - 280

Year of Publication: 1995

ISBN:0-89791-714-6

Authors

Makoto Iwayama	Advanced Research Laboratory, Hitachi Ltd., Hatoyama, Saitama 350-03, Japan
Takenobu Tokunaga	Department of Computer Science, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro, Tokyo 152, Japan

Sponsors

BCS-ISRG : BCS-ISRG
CEPIS : Council of European Professional Informatics Societies
AICA : Assoc Italianai de Calcolo Automatico
BCS-IRSG : BCS/Information Retrieval Specialist Group
German Comp Soc : GI - Gesellshaft for Informatik
IPSJ : Information Processing Society of Japan
SIGIR: ACM Special Interest Group on Information Retrieval
DD :

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 9, Downloads (12 Months): 64, Citation Count: 20

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REFERENCES

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	Fabrizio Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys (CSUR), v.34 n.1, p.1-47, March 2002
	Han-Joon Kim , Sang-Goo Lee, A semi-supervised document clustering technique for information organization, Proceedings of the ninth international conference on Information and knowledge management, p.30-37, November 06-11, 2000, McLean, Virginia, United States
	Noam Slonim , Naftali Tishby, Document clustering using word clusters via the information bottleneck method, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, p.208-215, July 24-28, 2000, Athens, Greece
	Yiming Yang, An Evaluation of Statistical Approaches to Text Categorization, Information Retrieval, v.1 n.1-2, p.69-90, 1999
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	Akiko Aizawa, A method of cluster-based indexing of textual data, Proceedings of the 19th international conference on Computational linguistics, p.1-7, August 24-September 01, 2002, Taipei, Taiwan
	Ronen Feldman, Text mining, Handbook of data mining and knowledge discovery, Oxford University Press, Inc., New York, NY, 2002
	Martin H. C. Law , Mario A. T. Figueiredo , Anil K. Jain, Simultaneous Feature Selection and Clustering Using Mixture Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.26 n.9, p.1154-1166, September 2004
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	S. Jaillet , A. Laurent , M. Teisseire, Sequential patterns for text categorization, Intelligent Data Analysis, v.10 n.3, p.199-214, January 2006
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