Knowledge discovery in databases: an overview
AI Magazine
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Location management support for mobile commerce applications
WMC '01 Proceedings of the 1st international workshop on Mobile commerce
LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Experimenting an Indoor Bluetooth-Based Positioning Service
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Experiments on Local Positioning with Bluetooth
ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
Bluetooth and WAP push based location-aware mobile advertising system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
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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.