Maximum Entropy Models for Iteratively Identifying Subjectively Interesting 
Structure in Real-valued Data

Kontonasios, Kleanthis-Nikolaos; Vreeken, Jilles; De Bie, Tijl

doi:10.1007/978-3-642-40991-2_17

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Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-valued Data

Kontonasios, K.-N., Vreeken, J., & De Bie, T. (2013). Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-valued Data. In H. Blockeel, K. Kersting, S. Nijssen, & F. Želenzný (Eds.), Machine Learning and Knowledge Discovery in Databases (pp. 256-271). Berlin: Springer. doi:10.1007/978-3-642-40991-2_17.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-1CCC-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-BF42-D

Genre: Conference Paper

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Creators:
Kontonasios, Kleanthis-Nikolaos¹, Author
Vreeken, Jilles², Author
De Bie, Tijl¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018

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Language(s): eng - English

Dates: Published Online: 2013Date issued: 2013

Publication Status: Issued

Pages: -

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Identifiers: BibTex Citekey: Konto2013a
Other: Local-ID: ED5813E38D4C4066C1257C6000547D94-Konto2013a
DOI: 10.1007/978-3-642-40991-2_17

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Title: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Place of Event: Prague, Czech Republic

Start-/End Date: 2013-09-23 - 2013-09-27

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Title: Machine Learning and Knowledge Discovery in Databases

Abbreviation : ECML PKDD 2013

Subtitle : European Conference, ECML PKDD 2013 ; Prague, Czech Republic, September 23-27, 2013 ; Proceedings, Part II

Source Genre: Proceedings

Creator(s):
Blockeel, Hendrik¹, Editor
Kersting, Kristian¹, Editor
Nijssen, Siegfried¹, Editor
Želenzný, Filip¹, Editor

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: Berlin : Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 256 - 271 Identifier: ISBN: 978-3-642-33485-6

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Title: Lecture Notes in Artificial Intelligence

Source Genre: Series

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Pages: - Volume / Issue: 8189 Sequence Number: - Start / End Page: - Identifier: -