International Journal of Computer Theory and Engineering

Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

OPEN ACCESS
4.0
CiteScore

IJCTE 2012 Vol.4(5): 694-696
doi: 10.7763/IJCTE.2012.V4.559

A New Method for Compressing Massive RFID Data to Achieve Efficient Mining

L. Hafezi , M. H. Saraee , M. A. Montazeri

  • Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.

Abstract

Radio Frequency Identification (RFID) technology has been used for many purposes and has had effective results. This technology eases and accelerates many applications, but it has proposed a challenge, and that is the production of such a volume of data. The volume is so enormous that disusing the system comes into consideration. However different methods have been applied for solving this problem. In this paper, we propose a new method for data compression without missing any data. By applying it to our system, a production line of car engines, we can get our data to 1/50 times the basic data. We can also return to the basic data. We apply data mining to estimate the accuracy of our method and we consider our method error rate is 16 percent that is acceptable.

Keywords

  • Data compression
  • data mining
  • RFID technology
559-A361

How to Cite

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L. Hafezi, M. H. Saraee, and M. A. Montazeri, "A New Method for Compressing Massive RFID Data to Achieve Efficient Mining," International Journal of Computer Theory and Engineering, vol. 4, no. 5, pp. 694-696, 2012. https://doi.org/10.7763/IJCTE.2012.V4.559

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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