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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Utility Knowledge Fusion in a Multi-site Environment
verfasst von : Guo-Cheng Lan, Tzung-Pei Hong, Yu-Chieh Tseng, Shyue-Liang Wang
Erschienen in: Multidisciplinary Social Networks Research
Verlag: Springer Berlin Heidelberg
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According to multi-site relationship, this work presents a new issue named online multi-site utility mining, which considers not only quantities and profits of items in transactions but also online mining in a multi-site environment, to effectively address the distributed utility mining in multiple sites. In addition, an effective online framework, namely
TP-OMU
(Three-Phase Online Multi-site Utility mining algorithm), is proposed for coping with this problem, and the predicting strategy is designed to reduce the number of unpromising candidates by their utility upper-bounds in mining. Finally, the experimental results show
TP-OMU
has good efficiency in comparison with the traditional two-phase utility mining approach.