On the merits of building categorization systems by supervised clustering

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On the merits of building categorization systems by supervised clustering

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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

San Diego, California, United States

Pages: 352 - 356

Year of Publication: 1999

ISBN:1-58113-143-7

Authors

Charu C. Aggarwal	IBM T. J. Watson Research Center, Yorktown Heights, NY
Stephen C. Gates	IBM T. J. Watson Research Center, Yorktown Heights, NY
Philip S. Yu	IBM T. J. Watson Research Center, Yorktown Heights, NY

Sponsors

SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data

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ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 45, Citation Count: 30

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references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Charu C. Aggarwal , Philip S. Yu, Finding generalized projected clusters in high dimensional spaces, Proceedings of the 2000 ACM SIGMOD international conference on Management of data, p.70-81, May 15-18, 2000, Dallas, Texas, United States
	2	Soumen Chakrabarti , Byron Dom , Rakesh Agrawal , Prabhakar Raghavan, Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies, The VLDB Journal — The International Journal on Very Large Data Bases, v.7 n.3, p.163-178, August 1998 [doi>10.1007/s007780050061]
	3	Douglass R. Cutting , David R. Karger , Jan O. Pedersen , John W. Tukey, Scatter/Gather: a cluster-based approach to browsing large document collections, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, p.318-329, June 21-24, 1992, Copenhagen, Denmark [doi>10.1145/133160.133214]
	4	Daphne Koller , Mehran Sahami, Hierarchically Classifying Documents Using Very Few Words, Proceedings of the Fourteenth International Conference on Machine Learning, p.170-178, July 08-12, 1997
	5	Wai Lam , Chao Yang Ho, Using a generalized instance set for automatic text categorization, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.81-89, August 24-28, 1998, Melbourne, Australia [doi>10.1145/290941.290961]
	6	R. Sibson. SLINK: An optimally efficient algorithm for the single link cluster method. Computer Journal, Volume 16, pages 30-34, 1973.
	7	Hinrich Schütze , Craig Silverstein, Projections for efficient document clustering, Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval, p.74-81, July 27-31, 1997, Philadelphia, Pennsylvania, United States

CITED BY 30

	Charu C. Aggarwal , Fatima Al-Garawi , Philip S. Yu, Intelligent crawling on the World Wide Web with arbitrary predicates, Proceedings of the 10th international conference on World Wide Web, p.96-105, May 01-05, 2001, Hong Kong, Hong Kong
	Guiraude Lame, A categorization method for French legal documents on the Web, Proceedings of the 8th international conference on Artificial intelligence and law, p.219-220, May 2001, St. Louis, Missouri, United States
	Charu C. Aggarwal , Fatima Al-Garawi , Philip S. Yu, On the design of a learning crawler for topical resource discovery, ACM Transactions on Information Systems (TOIS), v.19 n.3, p.286-309, July 2001
	George Karypis , Eui-Hong (Sam) Han, Fast supervised dimensionality reduction algorithm with applications to document categorization & retrieval, Proceedings of the ninth international conference on Information and knowledge management, p.12-19, November 06-11, 2000, McLean, Virginia, United States
	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
	Ying Zhao , George Karypis, Evaluation of hierarchical clustering algorithms for document datasets, Proceedings of the eleventh international conference on Information and knowledge management, November 04-09, 2002, McLean, Virginia, USA
	Charu C. Aggarwal , Stephen C. Gates , Philip S. Yu, On Using Partial Supervision for Text Categorization, IEEE Transactions on Knowledge and Data Engineering, v.16 n.2, p.245-255, February 2004
	Y. He , S. C. Hui , A. C. M. Fong, Citation-Based Retrieval for Scholarly Publications, IEEE Intelligent Systems, v.18 n.2, p.58-65, March 2003
	Giordano Adami , Paolo Avesani , Diego Sona, Bootstrapping for hierarchical document classification, Proceedings of the twelfth international conference on Information and knowledge management, November 03-08, 2003, New Orleans, LA, USA
	M. Caramia , G. Felici , A. Pezzoli, Improving search results with data mining in a thematic search engine, Computers and Operations Research, v.31 n.14, p.2387-2404, December 2004
	Giordano Adami , Paolo Avesani , Diego Sona, Clustering documents in a web directory, Proceedings of the 5th ACM international workshop on Web information and data management, November 07-08, 2003, New Orleans, Louisiana, USA
	Li Zhang , ShiXia Liu , Yue Pan , LiPing Yang, InfoAnalyzer: a computer-aided tool for building enterprise taxonomies, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA
	Thomas Finley , Thorsten Joachims, Supervised clustering with support vector machines, Proceedings of the 22nd international conference on Machine learning, p.217-224, August 07-11, 2005, Bonn, Germany
	Giordano Adami , Paolo Avesani , Diego Sona, Clustering documents into a web directory for bootstrapping a supervised classification, Data & Knowledge Engineering, v.54 n.3, p.301-325, September 2005
	Stephen C. Gates , Wilfried Teiken , Keh-Shin F. Cheng, Taxonomies by the numbers: building high-performance taxonomies, Proceedings of the 14th ACM international conference on Information and knowledge management, October 31-November 05, 2005, Bremen, Germany
	Chih-Ping Wei , Chin-Sheng Yang , Han-Wei Hsiao , Tsang-Hsiang Cheng, Combining preference- and content-based approaches for improving document clustering effectiveness, Information Processing and Management: an International Journal, v.42 n.2, p.350-372, March 2006
	Mohammed J. Zaki , Charu C. Aggarwal, XRules: An effective algorithm for structural classification of XML data, Machine Learning, v.62 n.1-2, p.137-170, February 2006
	Lei Tang , Jianping Zhang , Huan Liu, Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, August 20-23, 2006, Philadelphia, PA, USA
	Li Zhang , Tao Li , Shixia Liu , Yue Pan, An integrated system for building enterprise taxonomies, Information Retrieval, v.10 n.4-5, p.365-391, October 2007
	Jack G. Conrad , Khalid Al-Kofahi , Ying Zhao , George Karypis, Effective document clustering for large heterogeneous law firm collections, Proceedings of the 10th international conference on Artificial intelligence and law, June 06-11, 2005, Bologna, Italy
	Lei Tang , Huan Liu , Jianping Zhang , Nitin Agarwal , John J. Salerno, Topic taxonomy adaptation for group profiling, ACM Transactions on Knowledge Discovery from Data (TKDD), v.1 n.4, p.1-28, January 2008
	Roberto Cordone, A subexponential algorithm for the coloured tree partition problem, Discrete Applied Mathematics, v.155 n.10, p.1326-1335, May, 2007
	Yi-Chun Liao, A weight-based approach to information retrieval and relevance feedback, Expert Systems with Applications: An International Journal, v.35 n.1-2, p.254-261, July, 2008
	Charu C. Aggarwal, On Leveraging User Access Patterns for Topic Specific Crawling, Data Mining and Knowledge Discovery, v.9 n.2, p.123-145, September 2004
	Chihli Hung , Stefan Wermter, Neural Network Based Document Clustering Using WordNet Ontologies, International Journal of Hybrid Intelligent Systems, v.1 n.3,4, p.127-142, December 2004
	Daniela Godoy , Analía Amandi, A conceptual clustering approach for user profiling in personal information agents, AI Communications, v.19 n.3, p.207-227, August 2006
	Ying Zhao , George Karypis , Usama Fayyad, Hierarchical Clustering Algorithms for Document Datasets, Data Mining and Knowledge Discovery, v.10 n.2, p.141-168, March 2005
	Maria Halkidi , Benjamin Nguyen , Iraklis Varlamis , Michalis Vazirgiannis, THESUS: Organizing Web document collections based on link semantics, The VLDB Journal — The International Journal on Very Large Data Bases, v.12 n.4, p.320-332, November 2003
	Chih-Ping Wei , Christopher C. Yang , Chia-Min Lin, A Latent Semantic Indexing-based approach to multilingual document clustering, Decision Support Systems, v.45 n.3, p.606-620, June, 2008
	Mehrdad Mahdavi , Hassan Abolhassani, Harmony K-means algorithm for document clustering, Data Mining and Knowledge Discovery, v.18 n.3, p.370-391, June 2009