Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
552704 | Decision Support Systems | 2007 | 15 Pages |
Abstract
We describe a methodology and a prototype implementation of an online analytical processing system for mobile devices. The system guides the user to narrow down the search space using association rules. We also describe multi-layered caching techniques to improve performance and increase system utilization even in the presence of disconnections. The system is built using a three-tier architecture comprising of a data warehouse, a middle-tier server, and client mobile devices. Finally we conducted a series of simulation experiments to evaluate the performance of our association rule-based system and the multi-layered caching.
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Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Navin Kumar, Aryya Gangopadhyay, George Karabatis,