Maintaining frequent closed itemsets over a sliding window-Reference-Cited by-同舟云学术

Maintaining frequent closed itemsets over a sliding window

Published:2007-06-20 Issue:3 Volume:31 Page:191-215
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Cheng James,Ke Yiping,Ng Wilfred

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10844-007-0042-3.pdf

Reference22 articles.

1. Agrawal, R., Imielinski, T., & Swami, A. N. (1993). Mining association rules between sets of items in large databases. In SIGMOD, (pp. 207–216).

2. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In VLDB, (pp. 487–499).

3. Chang, J. H., & Lee, W. S. (2003). Finding recent frequent itemsets adaptively over online data streams. In KDD, (pp. 487–492).

4. Chang, J. H., & Lee, W. S. (2004). A sliding window method for finding recently frequent itemsets over online data streams. Journal of Information Science and Engineering, 20(4), 753–762.

5. Chen, Y., Dong, G., Han, J., Wah, B. W., & Wang, J. (2002). Multi-dimensional regression analysis of time-series data streams. In VLDB, (pp. 323–334).

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