1[1]Agrawal R. Mining Association Rules Between Sets of Items in Large Database. Washington, DC:Proceedings of ACM SIGMOD Conference on Management of Data, 1993-05:207-216
2[2]Agrawal R, Srikant R. Fast Algorithms for Mining Association Rules.Santiago, Chile: Proceedings of the 20th International Conference on Very Large Databases, 1994-09:487-499
3[3]Cheung D W. Maintenance of Discovered Association Rules in Large Databases:An Incremental Updating Technique. New Orleans,Louisana:Proceedings of the 12th International Conference on Data Engineering,1996:106-114
4[1]Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. In: Proceedings of ACM SIGMOD International Conference on Management of Date, Washington DC, 1993.207~216
5[2]Agrawal R, Srikant R. Fast algorithm for mining association rules. In: Proceedings of the 20th International Conference on VLDB, Santiago, Chile, 1994. 487~499
6[3]Han J, Kamber M. Data Mining: Concepts and Techniques. Beijing: Higher Education Press, 2001
7[5]Agrawal R, Shafer J C. Parallel mining of association rules:Design, implementation, and experience. IBM Research Report RJ 10004,1996
8[6]Savasere A, Omiecinski E, Navathe S. An efficient algorithm for mining association rules. In: Proceedings of the 21th International Conference on VLDB, Zurich, Switzerland, 1995. 432~444
9[7]Hah J, Jian P et al. Mining frequent patterns without candidate generation. In: Proceedings of ACM SIGMOD International Conference on Management of Data, Dallas, TX, 2000.1~12
10[8]Cheung D W, Lee S D, Kao B. A general incremental technique for maintaining discovered association rules. In: Proceedings of databases systems for advanced applications, Melbourne, Australia, 1997. 185~194