11:30-12:15:
Jean-Loup
Guillaume, Université catholique de Louvain,
Belgium and Université de Paris 6, France
Ultra-fast
multi-resolution method for detecting communities in large networks
Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results
Ian Davidson1 and S.S. Ravi1
(1) Department of Computer Science, University at Albany - State University of New York, Albany, NY 12222,
Handcock, M.S., Raftery, A.E. and Tantrum, J. (2005).
Model-Based Clustering for Social Networks.
Working Paper no. 46, Center for Statistics and the Social Sciences,
University of Washington.
- Dias, G. & Alves, E. (2005). Language-Independent Informative Topic Segmentation. In Proceedings of the 9th International Symposium on Social Communication. Santiago de Cuba, Cuba, January 24-28. pp. 588-592. ISBN: 9597174057. [pdf]
J. Han, M. Kamber, and A. K. H. Tung. Geographic Data Mining and Knowledge Discovery, chapter Spatial Clustering Methods in Data Mining: A Survey, pages 1–29. Taylor and Francis, 2001. [url]
T. Zhang, R. Ramakrishnan, und M. Livny. Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, Seite 103--114. New York, NY, USA, ACM, (1996)
C. Schmitz, A. Hotho, R. Jäschke, und G. Stumme. The Semantic Web: Research and Applications, Volume 4011 von LNAI, Seite 530-544. Heidelberg, Springer, (2006)
M. Grahl, A. Hotho, und G. Stumme. Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007), Seite 50-54. Martin-Luther-Universität Halle-Wittenberg, (September 2007)
C. Lu, X. Chen, und E. Park. Proceeding of the 18th ACM conference on Information and knowledge management, Seite 1545--1548. New York, NY, USA, ACM, (2009)