DSM-FI: an efficient algorithm for mining frequent itemsets in data streams

Author:

Li Hua-Fu,Shan Man-Kwan,Lee Suh-Yin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference18 articles.

1. Agrawal R, Imielinski T, Swami A (1993) Mining association rules between sets of items in large databases. In: Buneman P, Jajodia S (eds) Proceedings of the 1993 international conference on management of data, Washington, D.C., pp 207–216

2. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Bocca J, Jarke M, Zaniolo C (eds) Proceedings of the 20th international conference on lery large data bases, Chile, pp 487–499

3. Babcock B, Babu S, Datar M, Motwani R, Widom J (2002) Models and issues in data stream systems. In: Popa L (eds) Proceedings of the 21th ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems, Wisconsin, USA, pp 1–16

4. Chang J, Lee W (2004) Decaying obsolete information in finding recent frequent itemsets over data stream. In:IEICE transactions on information and systems, vol E87-D, no. 6, pp 1588–1592

5. Chang J and Lee W (2004). A sliding window method for finding recently frequent itemsets over online data streams. J Inf Sci Eng 20(4): 753–762

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