Paper Title:
Research on Mining Frequent Path and Prediction Algorithms of Object Movement Patterns in RFID Database
  Abstract

RFID technology has been widely used and the main problem is how to process the massive path data generated. The most important work in quick access technology of the RFID Database is supply the information of object movement patterns for people, as mining frequent path. There is little research in this area so far, on the basis of Apriori, the MP-Mine algorithm proposed in this paper mines the time-related path sequence.Meanwhile, we analyse the performance of the MP-Mine. The theoretical analysis and the results of experiment indicate that the algorithm is very effective. At last, we propose corresponding prediction method, which is very useful and valuable for enterprises.

  Info
Periodical
Chapter
Chapter 6: Materials and Mechanics Information System
Edited by
Yongping Zhang, Linhua Zhou and Elwin Mao
Pages
715-719
DOI
10.4028/www.scientific.net/AMM.109.715
Citation
K. F. Hu, L. Zhao, Y. C. Xu, L. Chen, "Research on Mining Frequent Path and Prediction Algorithms of Object Movement Patterns in RFID Database", Applied Mechanics and Materials, Vol. 109, pp. 715-719, 2012
Online since
October 2011
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Price
$32.00
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