Abstract
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.
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Lan, GC., Hong, TP., Tseng, YC., Wang, SL. (2014). Utility Knowledge Fusion in a Multi-site Environment. In: Wang, L.SL., June, J.J., Lee, CH., Okuhara, K., Yang, HC. (eds) Multidisciplinary Social Networks Research. MISNC 2014. Communications in Computer and Information Science, vol 473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45071-0_14
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DOI: https://doi.org/10.1007/978-3-662-45071-0_14
Publisher Name: Springer, Berlin, Heidelberg
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