User-centric business intelligence aims at empowering analysts who interact with complex tools, by allowing them to perform accurate data manipulations and analysis without necessarily requiring IT expertise and knowledge of underlying data speci cations. Recommender systems contribute to easing their tasks, but most of them operate inside...
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October 23, 2011 (v1)Conference paperUploaded on: December 4, 2022
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November 11, 2012 (v1)Conference paper
Most enterprise systems rely on relational databases, and therefore SQL queries, to populate dynamic documents such as business intelligence reports, dashboards or spreadsheets. These queries represent metadata about the documents, thus they can feed information retrieval systems such as recommender systems or search engines. In this paper we...
Uploaded on: December 4, 2022 -
May 25, 2012 (v1)Conference paper
With today's public data sets containing billions of data items, more and more companies are looking to integrate external data with their traditional enterprise data to improve business intelligence analysis. These distributed data sources however exhibit heterogeneous data formats and terminologies and may contain noisy data. In this paper,...
Uploaded on: December 3, 2022 -
May 15, 2012 (v1)Publication
With today's public data sets containing billions of data items, more and more companies are looking to integrate external data with their traditional enterprise data to improve business intelligence analysis. These distributed data sources however exhibit heterogeneous data formats and terminologies and may contain noisy data. In this paper,...
Uploaded on: December 3, 2022