Supporting mobile decision making with association rules and multi-layered caching

Authors:
Navin Kumar;Aryya Gangopadhyay;George Karabatis
Affiliations:
University of Maryland, Baltimore County (UMBC), Information Systems Department, 1000 Hilltop Circle, Baltimore, MD 21250, USA;University of Maryland, Baltimore County (UMBC), Information Systems Department, 1000 Hilltop Circle, Baltimore, MD 21250, USA;University of Maryland, Baltimore County (UMBC), Information Systems Department, 1000 Hilltop Circle, Baltimore, MD 21250, USA
Venue:
Decision Support Systems
Year:
2007

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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.