A New Framework of Mining Association Rules with Time-Windows on Real-Time Transaction Database

In this paper, the authors dedicate efforts to discover the part-time association rules in real-time transactional database by extending the traditional min-sup min-conf based frame-work to a new one the min-sup, min-conf and min-win based framework. They propose a more general form for association rule, i.e., the Association Rule with Time-Windows (ARTWs), to properly integrate the temporal association rules together with the normal ones. New notions like Frequent Item set with Time-Windows (FITWs) are also defined, and an Apriori-like algorithm, named TW-Apriori, is developed to fast generate the FITWs.

Provided by: ICIC International Topic: Data Management Date Added: Jun 2011 Format: PDF

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