
A survey of query recommendation techniques for data warehouse exploration
Marcel, Patrick; Negre, Elsa (2011), A survey of query recommendation techniques for data warehouse exploration, in Sandro Bimonte, François Pinet:, 7èmes Journées francophones sur les entrepôts de données et l'analyse en ligne, Hermann : Paris, p. 119-134
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Type
Communication / ConférenceDate
2011Conference country
FRANCEBook title
7èmes Journées francophones sur les entrepôts de données et l'analyse en ligneBook author
Sandro Bimonte, François Pinet:Publisher
Hermann
Published in
Paris
ISBN
9782705681272
Pages
119-134
Metadata
Show full item recordAbstract (EN)
Lots of data are gathered in datawarehouses that are navigated andexplored for analytical purposes. Only recently has the problem of recommending a datawarehouse query to a datawarehouse user attracted attention. In this paper, we propose a simple formal framework for expressing datawarehouse queryrecommendations. We propose to see the problem of recommending a datawarehouse query for exploration purposes as a function computing a set of queriesand associated ratings given a query log, a session, a user profile, a datawarehouse instance, and an expectation function. The rating computed indicates theusefulness of each query for a session. With this viewpoint, we review and categorize the few techniques that, to the best of our knowledge, have been proposedand we illustrate them with a case study.Subjects / Keywords
datawarehouses; query recommendationsRelated items
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