Modern MDL meets Data Mining Insights, Theory and Practice

Vreeken, Jilles; Yamanishi, Kenji

doi:10.1145/3292500.3332284

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Modern MDL meets Data Mining Insights, Theory and Practice

Vreeken, J., & Yamanishi, K. (2019). Modern MDL meets Data Mining Insights, Theory and Practice. In KDD´19 Proceedings of the 25th ACM SIGKDD conference on knowledge Discovery & Data mining (pp. 3229-3230). New York: ACM.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-6746-A Version Permalink: https://hdl.handle.net/21.11116/0000-0004-6747-9

Genre: Conference Paper

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Creators:
Vreeken, Jilles¹, Author
Yamanishi, Kenji², Author

Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018
2University of Tokio, Japan, ou_persistent22

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Dates: Date issued: 2019

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1145/3292500.3332284

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Title: 25th ACM SIGKDD conference on knowledge Discovery and Data mining

Place of Event: Anchorage, AK, USA

Start-/End Date: 2019-08-04 - 2019-08-08

Invited: Yes

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Title: KDD´19 Proceedings of the 25th ACM SIGKDD conference on knowledge Discovery & Data mining

Source Genre: Proceedings

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Affiliations:

Publ. Info: New York : ACM

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3229 - 3230 Identifier: ISBN: 978-1-4503-6201-6/19/08