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

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Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique (1996)

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by David W. Cheung , Jiawei Han , Vincent T. Ng , C. Y. Wong

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225 - 19 self

BibTeX

@MISC{Cheung96maintenanceof,
    author = {David W. Cheung and Jiawei Han and Vincent T. Ng and C. Y. Wong},
    title = {Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique},
    year = {1996}
}

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Abstract

An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such updates may not only invalidate some existing strong association rules but also turn some weak rules into strong ones. In this study, an incremental updating technique is proposed for efficient maintenance of dis- covered association rules when new transaction data are added to a transaction database.

Keyphrases

incremental updating technique large database discovered association rule association rule many study strong one database mining occasional update new transaction data transaction database efficient maintenance efficient discovery strong association rule weak rule

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