White Papers

Outlier-Based Data Association: Combining OLAP and Data Mining

Overview Both data mining and OLAP are powerful decision support tools. However, people use them separately for years: OLAP systems concentrate on the efficiency of building OLAP cubes, and no statistical / data mining algorithms have been applied; on the other hand, statistical analysis are traditionally developed for two-way relational databases, and have not been generalized to the multi-dimensional OLAP data structure. Combining both OLAP and data mining may provide excellent solutions, and this paper presents such an example - an OLAP-outlier-based data association method. This method integrates both outlier detection concept in data mining and ideas from OLAP field.

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Publisher: University of Virginia
File Format: PDF
Date Published: Oct 1, 2008
Format: White Papers
Topics: Business Intelligence - Data Warehousing, Data Mining - Analysis

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