3 papers
cs.DB2019
A Subjective Interestingness measure for Business Intelligence explorations
Alexandre Chanson, Ben Crulis, Nicolas Labroche +1
This paper addresses the problem of defining a subjective interestingness measure for BI exploration. Such a measure involves prior modeling of the belief of the user. The complexi…
cs.DB2019
Detecting coherent explorations in SQL workloads
Veronika Peralta, Patrick Marcel, Willeme Verdeaux +1
This paper presents a proposal aiming at better understanding a workload of SQL queries and detecting coherent explorations hidden within the workload. In particular, our work inve…
cs.DB2018
Beyond Roll-Up's and Drill-Down's: An Intentional Analytics Model to Reinvent OLAP (long-version)
Panos Vassiliadis, Patrick Marcel, Stefano Rizzi
This paper structures a novel vision for OLAP by fundamentally redefining several of the pillars on which OLAP has been based for the last 20 years. We redefine OLAP queries, in or…