Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference28 articles.
1. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. In VLDB’94 (pp. 487–499).
2. Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD conference Washington, DC, USA, May 1993 (pp. 207–216).
3. Aljandal, W., Hsu, W. H., Bahirwani, V., Caragea, D., & Weninger, T. (2008). Validation-based normalization and selection of interestingness measures for association rules. In Proceedings of the 18th international conference on artificial neural networks in engineering (ANNIE 2008) (pp. 1–8).
4. Measure theory and probability theory;Athreya,2006
5. Bayardo, R. J., Agrawal, R. (1999). Mining the most interesting rules. In Proceedings of the fifth ACM SIGKDD (pp. 145–154).
Cited by
29 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