A novel hash-based approach for mining frequent itemsets over data streams requiring less memory space

Author:

Wang En Tzu,Chen Arbee L. P.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference30 articles.

1. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules in large databases. In: Bocca JB, Jarke M, Zaniolo C (eds) Proceedings of the 20th international conference on very large databases (VLDB1994), Santiago, Chile, pp 487–499

2. Arlitt M, Williamson C (1996) Web server workload characterization: the search for invariants. In: Proceedings performance evaluation review, vol 24, No. 1, pp 126–137

3. Calders T, Dexters N, Goethals B (2006) Mining frequent items in a stream using flexible windows. In: Cama J, Klinkenberg R, Aguilar J (eds) Proceedings of ECML/PKDD 2006 workshop on knowledge discovery from data streams (IWKDDS), Berlin, Germany, pp 87–96

4. Calders T, Dexters N, Goethals B (2007) Mining frequent itemsets in a stream. In: Proceedings of the seventh IEEE international conference on data mining (ICDM’07), Omaha, USA, pp 83–92

5. Chang JH, Lee WS (2003) Finding recent frequent itemsets adaptively over online data streams. In: Getoor L, Senator TE, Domingos P, Faloutsos C (eds) Proceedings of the ninth ACM SIGKDD international conference on knowledge discovery and data mining (KDD2003), Washington, DC, USA, pp 487–492

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