NDLI: Retrieving frequent walks from tracking data in RFID-equipped warehouses

Content Provider	IEEE Xplore Digital Library
Author	Berenyi, Z. Charaf, H.
Copyright Year	2008
Description	Author affiliation: Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest (Berenyi, Z.; Charaf, H.)
Abstract	The utilization of RFID-related (radio-frequency identification) technologies became very common in the last few years. The effected main areas are highway surveillance systems, access cards, transport payments, RFID passports and product tracking systems. Tagged products can be tracked in an appropriately equipped warehouse with the help of the installed RFID readers. The movement of the customers can be followed because of a tag attached to the shopping cart or the products stored in it. In this paper, assuming such an environment, it has been examined how relevant information can be retrieved with the help of data mining methods from the collected, RFID-related data. The frequent sequences have been extracted, revealing the most visited spots and walks across the warehouse and the typical products selected along the way.
Starting Page	663
Ending Page	667
File Size	298773
Page Count	5
File Format	PDF
ISBN	9781424415427
DOI	10.1109/HSI.2008.4581519
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-25
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis frequent walks Tracking Biological system modeling data mining RFID Data mining Finite element methods warehouse pattern growth tracking data Databases sensor grid wireless frequent sequences Radiofrequency identification
Content Type	Text
Resource Type	Article

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