Efficient Mining of Large Maximal Bicliques from 3D Symmetric Adjacency Matrix-Reference-Cited by-同舟云学术

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Efficient Mining of Large Maximal Bicliques from 3D Symmetric Adjacency Matrix

Published:2010-12 Issue:12 Volume:22 Page:1797-1802
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Selvan S.,Nataraj R V

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx5/69/5611455/05482569.pdf?arnumber=5482569

Cited by 8 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. Maximum Biplex Search over Bipartite Graphs;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05

2. Mining Closed High Utility Itemsets based on Propositional Satisfiability;Data & Knowledge Engineering;2021-11

3. An Efficient Algorithm for Enumerating Maximal Bicliques from a Dynamically Growing Graph;Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery;2019-11-07

4. Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs;Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery;2019-11-07

5. Efficient representative pattern mining based on weight and maximality conditions;Expert Systems;2016-06-28

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