RFID based Data Mining for E-logistics

Yi Wang, Quan Yu, Kesheng Wang

Abstract

Radio Frequency Identification (RFID) is a useful ICT technology for E-logistics Enterprises. One of the standards used for RFID is Electronic Product Code Information Services (EPCIS). However, it is non-trivial to get effective knowledge from massive data to improve the existed production or logistic system comparing with convenient data collection. In this paper, we develop an intelligent platform which combines RFID for data acquisition, Data Mining for knowledge discovery and enterprise applications in the field of E-logistics. Especially association rule is applied to mine the associations between the distribution nodes and product quality within a product distribution logistic network on the basis of RFID datasets. The analysis result is the same as in the problem hypothesis, which concludes that it will be applicable for such kind of product distribution network analysis.

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Paper Citation


in Harvard Style

Wang Y., Yu Q. and Wang K. (2013). RFID based Data Mining for E-logistics . In Proceedings of the 4th International Conference on Data Communication Networking, 10th International Conference on e-Business and 4th International Conference on Optical Communication Systems - Volume 1: ICE-B, (ICETE 2013) ISBN 978-989-8565-72-3, pages 371-378. DOI: 10.5220/0004508303710378


in Bibtex Style

@conference{ice-b13,
author={Yi Wang and Quan Yu and Kesheng Wang},
title={RFID based Data Mining for E-logistics},
booktitle={Proceedings of the 4th International Conference on Data Communication Networking, 10th International Conference on e-Business and 4th International Conference on Optical Communication Systems - Volume 1: ICE-B, (ICETE 2013)},
year={2013},
pages={371-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004508303710378},
isbn={978-989-8565-72-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Data Communication Networking, 10th International Conference on e-Business and 4th International Conference on Optical Communication Systems - Volume 1: ICE-B, (ICETE 2013)
TI - RFID based Data Mining for E-logistics
SN - 978-989-8565-72-3
AU - Wang Y.
AU - Yu Q.
AU - Wang K.
PY - 2013
SP - 371
EP - 378
DO - 10.5220/0004508303710378