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  CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection

Nguyen, H. V., Müller, E., Vreeken, J., Keller, F., & Böhm, K. (2013). CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. In J. Ghosh, Z. Obradovic, J. Dy, Z.-H. Zhou, C. Kamath, & S. Parthasarathy (Eds.), SIAM International Conference on Data Mining (SDM) (pp. 198-206). Philadelphia, PA: SIAM.

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 Creators:
Nguyen, Hoang Vu1, Author
Müller, Emmanuel1, Author
Vreeken, Jilles1, Author           
Keller, Fabian1, Author
Böhm, Klemens1, Author
Affiliations:
1External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Nguyen2013a
Other: Local-ID: D4CFC6DFCA01AB7FC1257C600053E3CB-Nguyen2013a
DOI: 10.1137/1.9781611972832.22
URI: http://dx.doi.org/10.1137/1.9781611972832.22
 Degree: -

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Title: SDM 2013
Place of Event: Austin, USA
Start-/End Date: 2013-05-02 - 2013-05-04

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Title: SIAM International Conference on Data Mining (SDM)
Source Genre: Proceedings
 Creator(s):
Ghosh, Joydeep1, Editor
Obradovic, Zoran1, Editor
Dy, Jennifer1, Editor
Zhou, Zhi-Hua1, Editor
Kamath, Chandrika1, Editor
Parthasarathy, Srinivasan1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Philadelphia, PA : SIAM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 198 - 206 Identifier: ISBN: 978-1-61197-262-7