Similarity Measures for OLAP Sessions

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Provided by: University of Bochum
Topic: Big Data
Format: PDF
OLAP queries are not normally formulated in isolation, but in the form of sequences called OLAP sessions. Recognizing that two OLAP sessions are similar would be useful for different applications, such as query recommendation and personalization; however, the problem of measuring OLAP session similarity has not been studied so far. In this paper, the authors aim at filling this gap. First, they propose a set of similarity criteria derived from a user study conducted with a set of OLAP practitioners and researchers. Then they propose a function for estimating the similarity between OLAP queries based on three components: the query group-by set, its selection predicate, and the measures required in output.
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