Incremental update of cyclic association rules

Authors:
Eya Ben Ahmed
Affiliations:
Higher Institute of Management of Tunis, Tunisia
Venue:
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Year:
2010

Citing 3
Cited 0

Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique

ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Cyclic Association Rules

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Sampling Large Databases for Association Rules

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases

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Abstract

A promising challenge of data mining, especially for association rules technique, is the incremental mining of association whatever is the trend of the association rules. Recently, some researches were devoted to incremental update of temporal association rules problem. In this paper, we focus on cyclic association rules, a class of temporal association rules. Thus, we introduce a new approach called IUPCAR dedicated to maintaining incrementally the cyclic association rules already extracted. Based on the carried out experimental study, we point out the efficiency of our proposal.