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Mining Frequent Path of Moving Objects in Radio Frequency IDentification Database

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Abstract:

RFID is a technology that uses radio waves to transfer data from an electronic tag, called RFID tag or label, attached to an object through a reader for the purpose of identifying and tracking the object the main problem is how to process the massive path data generated in data mining field of RFID. The most important work in quick access technology of the RFID Database is mining the frequent path to supply the information of object movement patterns for people. So far, there has little research on this area. In this paper, on the basis of Apriori, the DFR-Mine algorithm proposed mines the time-related path sequence. Meanwhile, we analyze the performance and feasibility of the DFR-Mine. The theoretical analysis and the results of experiment indicate that the algorithm is very effective.

Keywords: FREQUENCY PATH; MOVING OBJECTS; RADIO FREQUENCY IDENTIFICATION

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2247

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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