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  Algorithms for Approximate Subtropical Matrix Factorization

Karaev, S., & Miettinen, P. (2019). Algorithms for Approximate Subtropical Matrix Factorization. Data Mining and Knowledge Discovery, 33(2), 526-576. doi:10.1007/s10618-018-0599-1.

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Karaev-Miettinen2019_Article_AlgorithmsForApproximateSubtro.pdf (Publisher version), 11MB
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This article is distributed under the terms of the Creative Commons Attribution 4.0 Interna- tional License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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 Creators:
Karaev, Sanjar1, Author           
Miettinen, Pauli1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 201820182019
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Karaev_DMKD2018
DOI: 10.1007/s10618-018-0599-1
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Title: Data Mining and Knowledge Discovery
  Abbreviation : DMKD
Source Genre: Journal
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Publ. Info: New York, NY : Springer
Pages: - Volume / Issue: 33 (2) Sequence Number: - Start / End Page: 526 - 576 Identifier: -