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This paper describes a methodology of OLAP cube navigation to identify interesting surprises by using a skewness based approach. Three different measures of interestingness of navigation rules are proposed. The navigation rules are examined for their interestingness in terms of their expectedness of skewness from neighborhood rules. A novel Axis Shift Theory (AST) to determine interesting navigation...
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...
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