A text classification framework with a local feature ranking for learning social networks

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2007, Pages 589-594

  Makrehchi, Masoud ^a   Kamel, Mohamed S ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; DATA MINING; DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MINING; SEARCH ENGINES; TEXT PROCESSING;

CLASS IMBALANCES; COMMUNITY IS; DOCUMENT VECTORS; FEATURE RANKING; INTERNATIONAL CONFERENCES; LOCAL FEATURES; ROCCHIO; SOCIAL NETWORKS; SOCIAL STRUCTURES; TEXT CLASSIFICATION; TEXT CLASSIFIERS; TEXT DATA; TRAINING DATA; UNBALANCED DATA;

DATA STRUCTURES;

EID: 49749152429     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.26     Document Type: Conference Paper

References (13)

1. J. Diesner and K. M. Carley. Exploration of communication networks from the enron email corpus. In Proc. of Workshop on Link Analysis, Counterterrorism and Security at SIAM International Conference on Data Mining 2005. Newport Beach, CA, April 21-23, 2005, pages 3-14, 2005.
2. G. Forman. A pitfall and solution in multi-class feature selection for text classification. In in Proceedings of ICML-04, Twenty-first international conference on Machine learning, pages 297-304, 2004.
3. D. Jensen and J. Neville. Data mining in social networks. National Academy of Sciences Symposium on Dynamic Social Network Analysis, November 7-9, 2002, Washington, DC: National Academy Press., 2002.
4. F. Khan, T. Fisher, L. Shuler, T. Wu, and W. Pottenger. Mining chat-room conversations for social and semantic interactions, 2002.
5. C. Ling and C. Li. Data mining for direct marketing: Problems and solutions. In Proceedings of The Forth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, AAAI, pages 73-79, 1998.
6. N. Matsumura, D. Goldberg, and X. Llora. Mining directed social network from message board. In In WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web, New York, NY, USA, 2005. ACM Press., pages 1092-1093, 2005.
7. Y. Matsuo, H. Tomobe, K. Hasida, and M. Ishizuka. Mining social network of conference participants from the web. In WI '03: Proceedings of the IEEE/WIC International Conference on Web Intelligence, pages 190-193, Washington, DC, USA, 2003. IEEE Computer Society.
8. P. Mika. Ontologies are us: A unifed model of social networks and semantics. In Fourth International Semantic Web Conference (ISWC 2005), pages page 122-136, Galway, Ireland.
9. P. Mika. Bootstrapping the foaf-web: An experiment in social network mining, 2004.
10. J. Mori, Y. Matsuo, M. Ishizuka, and B. Faltings. Keyword extraction from the web for foaf metadata. 1st Workshop on Friend of a Friend, Social Networking and the Semantic Web, 1-2 September 2004, Galway, Ireland, 2001.
11. J. Resig and A. Teredesai. A framework for mining instant messaging services. In In Proceedings of the 2004 SIAM DM Conference, 2004.
12. M. Richardson and P. Domingos. Mining knowledge-sharing sites for viral marketing. In KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 61-70, New York, NY, USA, 2002. ACM Press.
13. S. Staab, P. Domingos, P. Mike, J. Golbeck, L. Ding, T. T. Finin, A. Joshi, A. Nowak, and R. Vallacher. Social networks applied. IEEE Intelligent Systems, 20:80-83, 2005.