Frequent Pattern Mining in Data Streams

Author:

Lee Victor E.,Jin Ruoming,Agrawal Gagan

Publisher

Springer International Publishing

Reference80 articles.

1. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. of Int. conf. Very Large DataBases (VLDB'94), pages 487–499, Santiago, Chile, September 1994.

2. Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining association rules in large databases. In Proceedings of the 20th International Conference on Very Large Data Bases, VLDB '94, pages 487–499, San Francisco, CA, USA, 1994. Morgan Kaufmann Publishers Inc.

3. Rakesh Agrawal and Ramakrishnan Srikant. Mining sequential patterns. In Data Engineering, 1995. Proceedings of the Eleventh International Conference on, pages 3–14. IEEE, 1995.

4. R. Agrawal, H. Mannila, R. Srikant, H. Toivonent, and A. Inkeri Verkamo. Fast discovery of association rules. In U. Fayyad and et al, editors, Advances in Knowledge Discovery and Data Mining, pages 307–328. AAAI Press, Menlo Park, CA, 1996.

5. Charu C. Aggarwal, Yao Li, Philip S. Yu, and Ruoming Jin. On dense pattern mining in graph streams. Proc. VLDB Endow., 3(1–2):975–984, September 2010.

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