Statistical Modeling for OLAP Approximate Query

Provided by: Binary Information Press
Topic: Data Management
Format: PDF
From the perspective of supporting decision making, a statistical model is built in this paper in order to realize the tradeoff between the accuracy of OLAP queries and the efficiency of OLAP processes. Kernel density estimate and copula method are employed on the multidimensional datasets to fit the marginal distribution and the joint distribution respectively, by which the dependence among dimensions is adequately explored. The synopsis information of OLAP multidimensional datasets is stored in the statistical model instead of keeping the raw data in the system, which drastically reduces the data storage space while the time spent on the OLAP query process is also reduced.

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