Frequent Itemset Mining with Constraints-Reference-Cited by-同舟云学术

Frequent Itemset Mining with Constraints

Published:2018 Issue: Volume: Page:1531-1536
ISSN:
Container-title:Encyclopedia of Database Systems
language:
Short-container-title:

Author:

Leung Carson Kai-Sang

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4614-8265-9_170

Reference15 articles.

1. Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2003. p. 207–16.

2. Agrawal R, Srikant R. Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Data Bases; 1994. p. 487–99.

3. Bonchi F, Lucchese C. Pushing tougher constraints in frequent pattern mining. In: Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference; 2005. p. 114–24.

4. Bucila C, Gehrke J, Kifer D, White W. DualMiner: a dual-pruning algorithm for itemsets with constraints. In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2002. p. 42–51.

5. Cuzzocrea A, Leung CK-S, MacKinnon RK. Mining constrained frequent itemsets from distributed uncertain data. Futur Gener Comput Syst. 2014;37:117–26. https://doi.org/10.1016/j.future.2013.10.026.

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