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IDA
1999
Springer
14 years 1 months ago
Discovering Dynamics Using Bayesian Clustering
Abstract. This paper introduces a Bayesian method for clustering dynamic processes and applies it to the characterization of the dynamics of a military scenario. The method models ...
Paola Sebastiani, Marco Ramoni, Paul R. Cohen, Joh...
APWEB
2009
Springer
13 years 7 months ago
Core-Tag Clustering for Web 2.0 Based on Multi-similarity Measurements
Along with the development of Web2.0, folksonomy has become a hot topic related to data mining, information retrieval and social network. The tag semantic is the key for deep under...
Yexi Jiang, Changjie Tang, Kaikuo Xu, Lei Duan, Li...
AGENTS
2000
Springer
14 years 2 months ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
14 years 6 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
14 years 3 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu