1. R. Agrawal, T. Imielinski, and A.N. Swami. Mining association rules between sets of items in large databases. In P. Buneman and S. Jajodia, editors, ACM SIGMOD Int. Conf. on Management of Data, pages 207-216, 1993.
2. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In J.B. Bocca, M. Jarke, and C. Zaniolo, editors, Proceedings of the 20th Very Large Data Bases Conference, pages 487-499. Morgan Kaufmann, 1994.
3. J. Azé and Y. Kodratoff. A study of the effect of noisy data in rule extraction systems. In Sixteenth European Meeting on Cybernetics and Systems Research, volume 2, pages 781-786, 2002.
4. Y. Benjamini and Y. Hochberg. Controlling the false discovery rate : a practical and powerful approach to multiple testing. J. R. Stat. Soc., B, 57:289-300, 1995.
5. Y. Benjamini and W. Liu. A step-down multiple-hypothesis procedure that controls the false discovery rate under independance. J. Stat. Planng Inf., 82:163-170,1999.