DocumentCode
606037
Title
Data mining with time granules
Author
Tzung-Pei Hong ; Guo-Cheng Lan ; Pei-Shan Wu ; Shyue-liang Wang
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
fYear
2012
fDate
23-25 Oct. 2012
Firstpage
673
Lastpage
677
Abstract
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 time in the time granule. The experimental results on a simulation dataset show the performance of the proposed algorithm under the new item lifespan.
Keywords
data mining; appearance time; data mining; end time; general temporal association rules; hierarchical temporal rules; item lifespans; time granules; time period hierarchy; Data mining; a hierarchy of time granules; association-rule mining; item lifespan; temporal association rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location
Taipei
Print_ISBN
978-1-4673-0876-2
Type
conf
Filename
6528717
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