Cube Query Interestingness

IS 2024

Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Veronika Peralta, Patrick Marcel, Panos Vassiliadis. Cube query interestingness: Novelty, relevance, peculiarity and surprise. Information Systems, Volume 123, 2024.

Long v. of DOLAP23. Taxonomy of interestingness aspects; interestingness metrics. Details: [Local folder]

Assess UX

TKDE 2023

Matteo Francia, Matteo Golfarelli. Patrick Marcel, Stefano Rizzi, Panos Vassiliadis. Suggesting assess queries for interactive analysis of multidimensional data. IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 6, pp. 6421-6434, 2023, doi: 10.1109/TKDE.2022.3171516.

Follow-up to the EDBT'21 ASSESS paper. ASSESS UX details: Local folder (with PDF)

Cube Query Interestingness

DOLAP 2023

Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Veronika Peralta, Patrick Marcel, Panos Vassiliadis. Assessment Methods for the Interestingness of Cube Queries. 25th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2023), March 28, 2023, Ioannina, Greece.

Cube Query Interestingness details: Local folder (with PDF, mp4, ...)

The ASSESS operator

EDBT 2021

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, ...)

A model for data storytelling

ER 2020

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]

Data storytelling under constraints

DOLAP 2020

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]

Cell Interestingness

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]

The intentional model

Reference publication at IS 2019

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]

Optimizing intentional queries

DOLAP 2019

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]

A first shot to an intentional model

DOLAP 2018

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

Cinecubes' long v.

Reference publication at IS 2015

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).

Cinecubes' first paper

DOLAP 2013

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)]