Author:
Lin Ke-Chung,Liao I-En,Chang Tsui-Ping,Lin Shu-Fan
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software
Reference21 articles.
1. R. Agrawal, T. Imielinski, A. Swami, Mining association rules between sets of items in large databases, in: Proc. of the ACM SIGMOD Conf. on Management of Data, ACM, New York, NY, 1993, pp. 207–216.
2. R. Agrawal, R. Srikant, Fast algorithm for mining association rules in large databases, in: Proc. of 20th VLDB Conf., Morgan Kaufmann, San Francisco, CA, 1994, pp. 487–499.
3. Generalized association rule mining with constraints;Baralis;Inf. Sci.,2012
4. MAFIA: a maximal frequent itemset algorithm;Burdick;IEEE Trans. Knowl. Data Eng.,2005
5. S. Brin, R. Motwani, J.D. Ullman, S. Tsur, Dynamic itemset counting and implication rules for market basket data, in: ACM-SIGMOD Conference Management of Data, ACM, New York, NY, 2005, pp. 255–264.
Cited by
18 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