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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 944-948
ABSTRACT
Radio Frequency Identification (RFID) technology is fast becoming an important tool for tracking commodities in supply chain management applications. The movement of commodities through the supply chain forms a gigantic workflow that can be mined for the discovery of trends that in turn can be valuable in understanding and optimizing business processes. In this paper, we propose a method called divide to mine frequency path in RFID datasets by dividing the path data into two sequences, one is locations sequence another is durations sequence. Then mines closed sequential patterns in these two sequences, and integrates them into closed frequency path. We will also prove the correctness and completeness for this method.
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CITATION
Zhuxi Chen, Guoan Hong, Kongfa Hu, Ling Chen, "Divide: Mining Closed Frequent Path for Commodities in Supply Chain", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 944-948, 2008, doi:10.1109/PACIIA.2008.146
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