The Maximum Weighted Submatrix Coverage Problem: A CP Approach-Reference-Cited by-同舟云学术

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The Maximum Weighted Submatrix Coverage Problem: A CP Approach

Published:2019 Issue: Volume: Page:258-274
ISSN:0302-9743
Container-title:Integration of Constraint Programming, Artificial Intelligence, and Operations Research
language:
Short-container-title:

Author:

Derval Guillaume^ORCID,Branders Vincent^ORCID,Dupont Pierre^ORCID,Schaus Pierre^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19212-9_17

Reference20 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);JOR Aoga,2016

2. Bentley, J.: Programming pearls: algorithm design techniques. Commun. ACM 27(9), 865–873 (1984)

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence),2016

4. Branders, V., Schaus, P., Dupont, P.: Mining a sub-matrix of maximal sum. In: Proceedings of the 6th International Workshop on New Frontiers in Mining Complex Patterns in Conjunction with ECML-PKDD 2017 (2017)

5. Lecture Notes in Computer Science;M Chabert,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exact and heuristic algorithms for the maximum weighted submatrix coverage problem;European Journal of Operational Research;2022-05

2. Maximal-Sum submatrix search using a hybrid contraint programming/linear programming approach;European Journal of Operational Research;2022-03

3. Mining a Maximum Weighted Set of Disjoint Submatrices;Discovery Science;2019

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