29 citations · 35 across the 5 of their papers we have counts for
6 papers · 1 filter
A declarative approach to data narration
Patrick Marcel, Veronika Peralta, Faten El Outa +1
This vision paper lays the preliminary foundations for Data Narrative Management Systems (DNMS), systems that enable the storage, sharing, and manipulation of data narratives. We m…
Cube Interestingness: Novelty, Relevance, Peculiarity and Surprise
Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli +3
In this paper, we discuss methods to assess the interestingness of a query in an environment of data cubes. We assume a hierarchical multidimensional database, storing data cubes a…
Use of Context in Data Quality Management: a Systematic Literature Review
Flavia Serra, Veronika Peralta, Adriana Marotta +1
The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as \textit{fitness for use} and sho…
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…
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…
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…