Discovering Weighted Calendar-Based Temporal Relationship Rules using Frequent Pattern Tree
نویسندگان
چکیده
منابع مشابه
Discovering Calendar-based Temporal Association Rules
A temporal association rule is an association rule that holds during specific time intervals. An example can be that eggs and coffee are frequently sold together in morning hours. This paper studies temporal association rules during time intervals specified by user-given calendar schemas. Generally, the use of calendar schemas makes the discovered temporal association rules easier to understand...
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Cubes and association rules discover frequent patterns in a data set, most of which are not significant. Thus previous research has introduced search constraints and statistical metrics to discover significant patterns and reduce processing time. We introduce cube pairs (comparing cube groups based on a parametric statistical test) and rule pairs (based on two similar association rules), which ...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i28/98455