Data Grid Mining of Mobile User Behaviors in Web Environments
Mobile E-Commerce provides location-based services to mobile users in web environments. One of the best ways to personalize mobile services is based on location. In this paper, the authors propose a new algorithm called the Distributed Pattern Miner (DPM), for mining location-aware service request patterns from distributed databases on a Data Grid. The location and service request patterns represent frequently requested services and the corresponding location of mobile users in mobile web environments. These patterns are used to predict the next location of mobile users and the service requests in the future. The grid provides an effective computational and communicational support for distributed data mining applications.