Mining correlated bursty topic patterns from coordinated text streams

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2007, Pages 784-793

  Wang, Xuanhui ^a   Zhai, Chengxiang ^a   Hu, Xiao ^a   Sproat, Richard ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Clustering; Coordinated streams; Correlated bursty patterns; Reinforcement

Indexed keywords

DATA SETS; PROBABILISTIC ALGORITHMS; TEXT MINING;

CLUSTERING ALGORITHMS; CORRELATION METHODS; DATABASE SYSTEMS; PROBABILISTIC LOGICS; PROBLEM SOLVING; SET THEORY;

DATA MINING;

EID: 36849036336     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1281192.1281276     Document Type: Conference Paper

References (25)

1. C. Aggarwal. Data Streams: Models and Algorithms. Springer, 2007.
2. C. C. Aggarwal, J. Han, J. Wang, and P. S. Yu. On demand classification of data streams. In KDD, pages 503-508, 2004.
3. R. Agrawal, K.-I. Lin, H. S. Sawhney, and K. Shim. Fast similarity search in the presence of noise, scaling, and translation in time-series databases. In VLDB, pages 490-501, 1995.
4. J. Allan, J. Carbonell, G. Doddington, J. Yamron, and Y. Yang. Topic detection and tracking pilot study: Final report. In Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop, 1998.
5. J. Allan, R. Papka, and V. Lavrenko. On-line new event detection and tracking. In SIGIR, pages 37-45, 1998.
6. D. Blei, A. Ng, and M. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research 3, 2003.
7. S. Chien and N. Immorlica. Semantic similarity between search engine queries using temporal correlation. In WWW, pages 2-11, 2005.
8. G. P. C. Fung, J. X. Yu, P. S. Yu, and H. Lu. Parameter free bursty events detection in text streams. In VLDB, pages 181-192, 2005.
9. J. Han and M. Kamber. Data Mining: Concepts and Techniques, 2nd Ed. Morgan Kaufmann, 2006.
10. T. Hofmann. Probabilistic latent semantic indexing. In SIGIR, pages 50-57, 1999.
11. G. Hulten, L. Spencer, and P. Domingos. Mining time-changing data streams. In KDD, pages 97-106, 2001.
12. J. Kleinberg. Bursty and hierarchical structure in streams. In KDD, pages 91-101, 2002.
13. R. Kumar, J. Novak, P. Raghavan, and A. Tomkins. On the bursty evolution of blogspace. In WWW, pages 568-576, 2003.
14. Q. Mei, C. Liu, H. Su, and C. Zhai. A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In WWW, pages 533-542, 2006.
15. Q. Mei and C. Zhai. Discovering evolutionary theme patterns from text: an exploration of temporal text mining. In KDD, pages 198-207, 2005.
16. Q. Mei and C. Zhai. A mixture model for contextual text mining. In KDD, pages 649-655, 2006.
17. R. Sproat, T. Tao, and C. Zhai. Named entity transliteration with comparable corpora. In ACL, 2006.
18. R. Swan and J. Allan. Extracting significant time varying features from text. In CIKM, pages 38-45, 1999.
19. R. Swan and J. Allan. Automatic generation of overview timelines. In SIGIR, pages 49-56, 2000.
20. T. Tao and C. Zhai. Mining comparable bilingual text corpora for cross-language information integration. In KDD, pages 691-696, 2005.
21. M. Vlachos, C. Meek, Z. Vagena, and D. Gunopulos. Identifying similarities, periodicities and bursts for online search queries. In SIGMOD, pages 131-142, 2004.
22. J. Xu, R. Weischedel, and C. Nguyen. Evaluating a probabilistic model for cross-lingual information retrieval. In SIGIR, pages 105-110, 2001.
23. Y. Yang, T. Ault, T. Pierce, and C. W. Lattimer. Improving text categorization methods for event tracking. In SIGIR, pages 65-72, 2000.
24. Y. Yang, T. Pierce, and J. Carbonell. A study of retrospective and on-line event detection. In SIGIR, pages 28-36, 1998.
25. C. Zhai, A. Velivelli, and B. Yu. A cross-collection mixture model for comparative text mining. In KDD, pages 743-748, 2004.