Matteo Francia, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Panos Vassiliadis. Assess Queries for Interactive Analysis of Data Cubes. 24th International Conference on Extending Database Technology (EDBT '21), March 23-26, 2021.
The ASSESS operator on evaluating the results of a query: Local folder (with PDF, mp4, ...)
Faten El Outa, Matteo Francia, Patrick Marcel, Verónika Peralta, Panos Vassiliadis. Towards a conceptual model for data narratives. 39th International Conference on Conceptual Modeling (ER 2020), pp 261-270, Vienna, November 3-6 2020.
Preliminary attempt towards a model for data storytelling [Local folder]
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis. The Traveling Analyst Problem: Definition and Preliminary Study . 22nd International Workshop On Data Warehousing and OLAP (DOLAP 2020), Copenhagen, Denmark, March 30, 2020. [Online proceedings at CEUR, pp. 94-98].
Preliminary attempt towards data storytelling under constraints [Local folder]
Patrick Marcel, Verónika Peralta and Panos Vassiliadis. A framework for learning cell interestingness from cube explorations. 23rd European Conference on Advances in Databases and Information Systems (ADBIS 2019). September 8-11, 2019,Bled, Slovenia
A first attempt to describe interestingness as a multi-facet quality including aspects like relevance, novelty, surprise and peculiarity [Local folder]
P. Vassiliadis, P. Marcel, S. Rizzi. Beyond Roll-Up's and Drill-Down's: An Intentional Analytics Model to Reinvent OLAP. Information Systems, volume 85, pp. 68-91, November 2019.
Reference version of the intentional analytics model. The DOLAP'18 model is updated and lots of examples and explanations are given. The formal version of the intentional analytics model is available at arxiv.org, and extends the Inf. Systems paper with a full treatment of the formalities of the model [Local folder]
Patrick Marcel, Nicolas Labroche, Panos Vassiliadis. Towards a Benefit-based Optimizer for Interactive Data Analysis. In 21st International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2019) co-located with EDBT/ICDT Joint Conference, Lisbon, Portugal, March 26, 2019.
Vision paper on optimizing data story answering [Local folder]
Panos Vassiliadis, Patrick Marcel. The road to highlights is paved with good intentions: envisioning a paradigm shift in OLAP modeling. 20th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2018), 26 March 2018, Vienna, Austria (co-located with EDBT/ICDT 2018).
First attempt for a model at DOLAP 2018. See also the local page with the paper and other material
Dimitrios Gkesoulis, Panos Vassiliadis, Petros Manousis. CineCubes: Aiding data workers gain insights from OLAP queries. Information Systems, Volume 53, October–November 2015, Pages 60 - 86.
Extends DOLAP'13 with a broad survey of related work, an enlightening user study, and details of the formal background, software architecture and experiments. See the paper (PDF) and a detailed presentation (PDF).
Dimitrios Gkesoulis, Panos Vassiliadis. CineCubes: Cubes as Movie Stars with Little Effort. ACM Sixteenth International Workshop On Data Warehousing and OLAP (DOLAP 2013), pp. 3 - 10, 28 October 2013, San Fransisco, USA (colocated with ACM CIKM 2013)..
The original Cinecubes paper at DOLAP 2013 [Paper (PDF) and presentation: (PDF) (PPT)]