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Authors: Yi Wang 1 ; Quan Yu 2 and Kesheng Wang 2

Affiliations: 1 University of Manchester, United Kingdom ; 2 Norwegian University of Science and Technology, Norway

ISBN: 978-989-8565-72-3

Keyword(s): RFID, Data Mining, Association Rules, E-logistics, System Integration.

Related Ontology Subjects/Areas/Topics: Applications ; Demonstrators and Applications ; e-Business ; Enterprise Information Systems ; Industrial ; Logistics ; Platforms and Architectures

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 several formats:
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

@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},
}

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

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