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A Bluetooth User Positioning System for Locating, Informing, and Extracting Information Using Data Mining Techniques

A Bluetooth User Positioning System for Locating, Informing, and Extracting Information Using Data Mining Techniques

John Garofalakis, Christos Mettouris
Copyright: © 2009 |Volume: 1 |Issue: 2 |Pages: 21
ISSN: 1937-965X|EISSN: 1937-9668|ISSN: 1937-965X|EISBN13: 9781615201549|EISSN: 1937-9668|DOI: 10.4018/japuc.2009040105
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MLA

Garofalakis, John, and Christos Mettouris. "A Bluetooth User Positioning System for Locating, Informing, and Extracting Information Using Data Mining Techniques." IJAPUC vol.1, no.2 2009: pp.68-88. http://doi.org/10.4018/japuc.2009040105

APA

Garofalakis, J. & Mettouris, C. (2009). A Bluetooth User Positioning System for Locating, Informing, and Extracting Information Using Data Mining Techniques. International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 1(2), 68-88. http://doi.org/10.4018/japuc.2009040105

Chicago

Garofalakis, John, and Christos Mettouris. "A Bluetooth User Positioning System for Locating, Informing, and Extracting Information Using Data Mining Techniques," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 1, no.2: 68-88. http://doi.org/10.4018/japuc.2009040105

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Abstract

Until now, user positioning systems were focused mainly on providing users with exact location information. This makes them computational heavy while often demanding specialized software and hardware from mobile devices. In this article we present a new user positioning system. The system is intended for use with m-commerce, by sending informative and advertising messages to users, after locating their position indoors. It is based exclusively on Bluetooth. The positioning method we use, while efficient is nevertheless simple. The m-commerce based messages, can be received without additional software or hardware installed. Moreover, the location data collected by our system are further processed using data mining techniques, in order to provide statistical information. After discussing the available technologies and methods for implementing indoor user positioning applications, we shall focus on implementation issues, as well as the evaluation of our system after testing it. Finally, conclusions are extracted.

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