Multi-type features based web document clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3306, Issue , 2004, Pages 253-265

  Huang, Shen ^a   Xue, Gui Rong ^a   Zhang, Ben Yu ^b   Chen, Zheng ^b   Yu, Yong ^a   Wei Ying, Ma ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLUSTERING ALGORITHMS; HYPERTEXT SYSTEMS; REINFORCEMENT; SEARCH ENGINES; WEBSITES; WORLD WIDE WEB;

CLUSTERING RESULTS; DOCUMENT COLLECTION; ENSEMBLE METHODS; MUTUAL REINFORCEMENT; NOVEL ALGORITHM; REINFORCEMENT CLUSTERING; SEARCH ENGINE RESULTS; WEB DOCUMENT CLUSTERING;

SOCIAL NETWORKING (ONLINE);

EID: 34548713521     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30480-7_27     Document Type: Article

References (22)

1. Blum, A. and Mitchell, T.: Combining Labeled and Unlabeled Data with Co-Training. In Proceeding of the Conference on Computational Learning Theory, 1998.
2. Cover, T. M. and Thomas, J. A.: Elements of Information Theory, Wiley, 1991.
3. Dash, M. and Liu, H.: Feature Selection for Clustering. In Proceeding of 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2000.
4. Dudoit, S. and Fridlyand, J.: Bagging to Improve the Accuracy of a Clustering Procedure. Bioinformatics, 2003.
5. He, X., Zha, H., Ding, C. and Simon, H. D.: Web Document Clustering Using Hyperlink Structures. Computational Statistics and Data Analysis, 45:19-45, 2002.
6. Kessler, M. M.: Bibliographic coupling between scientific papers. American Documentation, 14:10-25, 1963.
7. Larsen, B., Aone, C.: Fast and Effective Text Mining Using Linear-time Document Clustering. In Proceedings of the 5th ACM SIGKDD International Conference, 1999.
8. Liu, T., Liu, S., Chen, Z. and Ma, W.-Y.: An Evaluation on Feature Selection for Text Clustering. In Proc. of the 20th International Conference on Machine Learning, 2003.
9. Martin, H. C. L., Mario, A. T. F. and Jain, A.K.: Feature Saliency in unsupervised learning, Technical Report, Michigan Sate University, 2002.
10. Minaei, B., Topchy, A., Punch, W. F.: Ensembles of Partitions via Data Resampling. In Proceeding of the International Conference on Information Technology, 2004.
11. Nigam, K. and Ghani, R.: Analyzing the Effectiveness and Applicability of Co-Training. In Proceeding of Information and Knowledge Management, 2000.
12. Ntoulas, A., Cho, J. and Olston, C.: What's New on the Web? The Evolution of the Web from a Search Engine Perspective. To appear: the 13th International WWW, 2004.
13. Salton, G.: Automatic Text Processing: The transformation, analysis, and retrieval of information by computer. Addison-Wesley, 1989.
14. Small, H.: Co-citation in Scientific Literature: A new measure of the relationship between two documents. Journal of the American Society for Information, 1973.
15. Strehl, A. and Ghosh, J.: Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions. Journal on Machine Learning Research, 2002.
16. Topchy, A., Jain, A. K. and Punch, W.: A Mixture Model of Clustering Ensembles. To appear in Proceedings of the SIAM International Conference on Data Mining, 2004.
17. Wang, J., Zeng, H.-J., Chen, Z., Lu, H., Li, T. and Ma, W.-Y.: ReCoM: Reinforcement Clustering of Multi-Type Interrelated Data Objects. In Proc. of the 26th SIGIR, 2003.
18. Wang, Y. and Kitsuregawa, M.: Clustering of Web Search Results with Link Analysis. Technique report, 1999.
19. Weiss, R., Velez, B., Sheldon, M. A., Namprempre, C., Szilagyi, P., Duda, A. and Gifford, D. K.: HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering. In 7th ACM Conference on Hypertext, pages 180-193, 1996.
20. Yang, Y. and Pedersen, J. O.: A Comparative Study on Feature Selection in Text Categorization. In Proceedings of 14th International Conference on Machine Learning, 1997.
21. Zamir, O., Etzioni, O.: Web Document Clustering: A Feasibility Demonstration. In Proceeding of the 21st Annual International ACM SIGIR Conference, 1998.
22. Zeng, H.-J., Chen, Z. and Ma, W.-Y.: A Unified Framework for Clustering Heterogeneous Web Objects. In Proc. of the 3rd International Conference on WISE, 2002.