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Most of the existing studies in temporal data mining consider only lifespan of items to find general temporal association rules. However, an infrequent item for the entire time may be frequent within part of the time. We thus organize time into granules and consider temporal data mining for different levels of granules. Besides, an item may not be ready at the beginning of a store. In this paper,...
Different from the existing studies, this work presents a new kind of rules with the concept of a hierarchy of time granules, namely hierarchical temporal association rules. The lifespan of an item in a time granule is calculated from the publication time of the item to the end time in the time granule. A three-phase mining framework is proposed to effectively and efficiently find this kind of rules...
Most of the existing studies only consider different item lifespans to find general temporal association rules, and this may neglect some useful information. In this paper, the concept of a hierarchy of time periods is considered and a new kind of rules, called hierarchical temporal rules, is proposed. The lifespan of an item in a time granule is calculated from its first appearance time to the end...
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