1. Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In: Buneman, P., Jajodia, S. (eds.) Proc. of the ACM SIGMOD Int. Conf. on Management of Data, Washington, D.C., May 26–28, pp. 207–216. ACM Press, New York (1993)
2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Bocca, J.B., Jarke, M., Zaniolo, C. (eds.) Proc. of 20th Int. Conf. on Very Large Data Bases (VLDB 1994), Santiago de Chile, Chile, September 12–15, pp. 487–499. Morgan Kaufmann, San Francisco (1994)
3. Agrawal, R., Srikant, R.: Mining sequential patterns. In: Yu, P.S., Chen, A.L.P. (eds.) Proc. of the 11th Int. Conf. on Data Engineering, Taipei, Taiwan, March 6–10, pp. 3–14. IEEE Computer Society, Los Alamitos (1995)
4. Ale, J.M., Rossi, G.H.: An approach to discovering temporal association rules. In: Proc. of the ACM Symposium on Applied Computing, Villa Olmo, Italy, March 19–21, pp. 294–300. ACM, New York (2000)
5. Bettini, C., Wang, X.S., Jajodia, S.: Testing complex temporal relationships involving multiple granularities and its application to data mining. In: Proc. of the 15th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Montreal, Canada, June 3–5, pp. 68–78. ACM Press, New York (1996)