Abstract

The Convergence of location-aware devices, wireless communication, such as the increasing accuracy of GPS technology and geographic information system functionalities enables the deployment of new services such as location-based services (LBS). Achieve high quality or such services, spatio2013;temporal data mining techniques are needed. Our work concentrates on the development of data mining techniques for knowledge discovery and delivery in LBS. First, a number of real world spatio2013;temporal data sets are described, leading to a taxonomy of spatio2013;temporal data. Second, the paper describes a general methodology that transforms the spatio2013;temporal rule mining task to the traditional market basket analysis task and applies it to the described data sets, enabling traditional association rule mining methods to discover spatio2013;temporal rules for LBS. Finally, unique issues in spatio2013;temporal rule mining are identified and discussed.