A framework for recommending OLAP queries
Giacometti, Arnaud; Marcel, Patrick; Negre, Elsa (2008), A framework for recommending OLAP queries, in Song, Il-Yeol; Abello, Alberto, DOLAP 2008, ACM 11th International Workshop on Data Warehousing and OLAP, Napa Valley, California, USA, October 30, 2008, Proceedings, ACM, p. 73-80. http://dx.doi.org/10.1145/1458432.1458446
TypeCommunication / Conférence
Conference title11th International Workshop on Data Warehousing and OLAP (DOLAP 2008)
Conference cityNapa Valley (Ca)
Book titleDOLAP 2008, ACM 11th International Workshop on Data Warehousing and OLAP, Napa Valley, California, USA, October 30, 2008, Proceedings
Book authorSong, Il-Yeol; Abello, Alberto
MetadataShow full item record
Abstract (EN)An OLAP analysis session can be defined as an interactive session during which a user launches queries to navigate within a cube. Very often choosing which part of the cube to navigate further, and thus designing the forthcoming query, is a difficult task. In this paper, we propose to use what the OLAP users did during their former exploration of the cube as a basis for recommending OLAP queries to the user. We present a generic framework that allows to recommend OLAP queries based on the OLAP server query log. This framework is generic in the sense that changing its parameters changes the way the recommendations are computed. We show how to use this framework for recommending simple MDX queries and we provide some experimental results to validate our approach.
Subjects / KeywordsOLAP; MDX queries
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