Discovering dynamics using bayesian clustering

Paola Sebastiani; Marco Ramoni; Paul Cohen; John Warwick; James Davis

doi:10.1007/3-540-48412-4_17

Discovering dynamics using bayesian clustering

Paola Sebastiani, Marco Ramoni, Paul Cohen, John Warwick, James Davis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 Scopus citations

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 dynamics as Markov chains and then applies an agglomerative clustering procedure to discover the most probable set of clusters capturing the different dynamics. To increase efficiency, the method uses an entropy-based heuristic search strategy.

Original language	English (US)
Title of host publication	Advances in Intelligent Data Analysis - 3rd International Symposium, IDA 1999, Proceedings
Editors	David J. Hand, Joost N. Kok, Michael R. Berthold
Publisher	Springer-Verlag
Pages	199-209
Number of pages	11
ISBN (Print)	3540663320, 9783540663324
DOIs	https://doi.org/10.1007/3-540-48412-4_17
State	Published - 1999
Event	3rd International Symposium on Intelligent Data Analysis, IDA 1999 - Amsterdam, Netherlands Duration: Aug 9 1999 → Aug 11 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1642
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Symposium on Intelligent Data Analysis, IDA 1999
Country/Territory	Netherlands
City	Amsterdam
Period	8/9/99 → 8/11/99

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-48412-4_17

Cite this

Sebastiani, P., Ramoni, M., Cohen, P., Warwick, J., & Davis, J. (1999). Discovering dynamics using bayesian clustering. In D. J. Hand, J. N. Kok, & M. R. Berthold (Eds.), Advances in Intelligent Data Analysis - 3rd International Symposium, IDA 1999, Proceedings (pp. 199-209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1642). Springer-Verlag. https://doi.org/10.1007/3-540-48412-4_17

Discovering dynamics using bayesian clustering. / Sebastiani, Paola; Ramoni, Marco; Cohen, Paul et al.
Advances in Intelligent Data Analysis - 3rd International Symposium, IDA 1999, Proceedings. ed. / David J. Hand; Joost N. Kok; Michael R. Berthold. Springer-Verlag, 1999. p. 199-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1642).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sebastiani, P, Ramoni, M, Cohen, P, Warwick, J & Davis, J 1999, Discovering dynamics using bayesian clustering. in DJ Hand, JN Kok & MR Berthold (eds), Advances in Intelligent Data Analysis - 3rd International Symposium, IDA 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1642, Springer-Verlag, pp. 199-209, 3rd International Symposium on Intelligent Data Analysis, IDA 1999, Amsterdam, Netherlands, 8/9/99. https://doi.org/10.1007/3-540-48412-4_17

Sebastiani P, Ramoni M, Cohen P, Warwick J, Davis J. Discovering dynamics using bayesian clustering. In Hand DJ, Kok JN, Berthold MR, editors, Advances in Intelligent Data Analysis - 3rd International Symposium, IDA 1999, Proceedings. Springer-Verlag. 1999. p. 199-209. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-48412-4_17

Sebastiani, Paola ; Ramoni, Marco ; Cohen, Paul et al. / Discovering dynamics using bayesian clustering. Advances in Intelligent Data Analysis - 3rd International Symposium, IDA 1999, Proceedings. editor / David J. Hand ; Joost N. Kok ; Michael R. Berthold. Springer-Verlag, 1999. pp. 199-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Discovering dynamics using bayesian clustering

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