C. Charu and . Aggarwal, On biased reservoir sampling in the presence of stream evolution, pp.607-618, 2006.

Y. Chi, H. Wang, P. S. Yu, and R. R. Muntz, Moment: Maintaining closed frequent itemsets over a stream sliding window, Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 04), pp.59-66, 2004.

G. Giannella, J. Han, J. Pei, X. Yan, and P. Yu, Mining frequent patterns in data streams at multiple time granularities, Next Generation Data Mining, 2003.

H. Li, S. Y. Lee, and M. Shan, An efficient algorithm for mining frequent itemsets over the entire history of data streams, Proceedings of the 1st International Workshop on Knowledge Discovery in Data Streams, 2004.

G. Manku and R. Motwani, Approximate frequency counts over data streams, Proceedings of the 28th International Conference on Very Large Data Bases (VLDB 02), pp.346-357, 2002.

R. Srikant and R. Agrawal, Mining sequential patterns: Generalizations and performance improvements, Proceedings of the 5th International Conference on Extending Database Technology (EDBT 96), pp.3-17, 1996.

R. Agrawal and R. Srikant, Mining sequential patterns, Proceedings of the 11th International Conference on Data Engineering (ICDE 95), pp.3-14, 1995.

W. Teng, M. Chen, and P. S. Yu, A regression-based temporal patterns mining schema for data streams, Proceedings of the 29th International Conference on Very Large Data Bases (VLDB 03), pp.93-104, 2003.

J. S. Vitter, Random sampling with a reservoir, ACM Trans. Math. Softw, vol.11, issue.1, pp.37-57, 1985.