Updating of Association Rules Dynamically

Authors:
King-Kwok Ng;Wai Lam
Affiliations:
-;-
Venue:
DANTE '99 Proceedings of the 1999 International Symposium on Database Applications in Non-Traditional Environments
Year:
1999

Citing 0
Cited 5

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Abstract

We propose a new algorithm to handle the problem of updating of association rules. Recent methods on this problem usually employ the Apriori algorithm. We develop a new algorithm, called the Incremental Dynamic Item set Counting algorithm. It makes use of the dynamic counting technique to deal with this problem in a more efficient way. Experimental results show that our new algorithm outperforms a recent incremental association rule mining algorithm in terms of the computational time. We also investigate a variant of our algorithm and demonstrate its effectiveness.