Patrick Marcel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
9
Active years
1999–2026
Best venue rank
C
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DOLAP | On the Efficacy of Using LLMs for Context Driven Entity Augmentation in Property Graphs. | Felipe F. Vasconcelos, Cristina Dutra Aguiar, Alexandre Chanson, Mrian Halfeld Ferrari, Patrick Marcel, Vernika Peralta |
| 2025 | ADBIS | Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis. | Guillaume Tejedor, Vernika Peralta, Nicolas Labroche, Patrick Marcel, Hlne Blasco, Hugo Alarcan |
| 2025 | DOLAP | Finding comparison insights in multidimensional datasets. | Patrick Marcel, Claire Antoine, Alexandre Chanson, Nicolas Labroche |
| 2025 | EDBT | Can Operations Research bring you to the next level? Basics and application. | Vincent T'kindt, Patrick Marcel |
| 2025 | ER | A Conceptual Model for Data Analysis Highlights. | Panos Vassiliadis, Vernika Peralta, Patrick Marcel, Dimos Gkitsakis, Angeliki Dougia, Faten El Outa |
| 2024 | ADBIS | Interestingness Measures for Exploratory Data Analysis: a Survey. | Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Panos Vassiliadis |
| 2023 | ADBIS | Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data. | Sandro Bimonte, Patrick Marcel, Stefano Rizzi |
| 2023 | ADBIS | Context-Aware Data Quality Management Methodology. | Flavia Serra, Vernika Peralta, Adriana Marotta, Patrick Marcel |
| 2023 | DOLAP | Pairwise Loss Regularization for Recommendations Explanation. | Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux |
| 2023 | DOLAP | The Whys and Wherefores of Cubes. | Matteo Francia, Stefano Rizzi, Patrick Marcel |
| 2023 | DOLAP | Assessment Methods for the Interestingness of Cube Queries. | Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Vernika Peralta, Patrick Marcel, Panos Vassiliadis |
| 2023 | EDBT | Data Narration for the People: Challenges and Opportunities. | Sihem Amer-Yahia, Patrick Marcel, Vernika Peralta |
| 2022 | ADBIS | Data Narrative Crafting via a Comprehensive and Well-Founded Process. | Faten El Outa, Patrick Marcel, Vernika Peralta, Raphal da Silva, Marie Chagnoux, Panos Vassiliadis |
| 2022 | DOLAP | Generating Personalized Data Narrations from EDA Notebooks. | Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Willeme Verdeaux, Lucile Jacquemart |
| 2022 | EDBT | Automatic generation of comparison notebooks for interactive data exploration. | Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt |
| 2022 | ER | Modeling Lifelong Pathway Co-construction. | Nicolas Ringuet, Patrick Marcel, Nicolas Labroche, Thomas Devogele, Christophe Bortolaso |
| 2022 | ER | Modeling Context for Data Quality Management. | Flavia Serra, Vernika Peralta, Adriana Marotta, Patrick Marcel |
| 2021 | DaWaK | A Chain Composite Item Recommender for Lifelong Pathways. | Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt |
| 2021 | EDBT | Assess Queries for Interactive Analysis of Data Cubes. | Matteo Francia, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Panos Vassiliadis |
| 2020 | ADBIS | The Tell-Tale Cube. | Antoine Chdin, Matteo Francia, Patrick Marcel, Vernika Peralta, Stefano Rizzi |
| 2020 | DOLAP | To Each His Own: Accommodating Data Variety by a Multimodel Star Schema. | Sandro Bimonte, Yassine Hifdi, Mohammed Maliari, Patrick Marcel, Stefano Rizzi |
| 2020 | DOLAP | The Traveling Analyst Problem: Definition and Preliminary Study. | Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Stefano Rizzi, Panos Vassiliadis |
| 2020 | DOLAP | Learning Analysis Patterns using a Contextual Edit Distance. | Clment Moreau, Vernika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele |
| 2020 | EDBT | Causality based explanations in multi-stakeholder recommendations. | Willeme Verdeaux, Clment Moreau, Nicolas Labroche, Patrick Marcel |
| 2020 | ER | Towards a Conceptual Model for Data Narratives. | Faten El Outa, Matteo Francia, Patrick Marcel, Vernika Peralta, Panos Vassiliadis |
| 2020 | ER | Supporting the Generation of Data Narratives. | Faten El Outa, Matteo Francia, Patrick Marcel, Vernika Peralta, Panos Vassiliadis |
| 2019 | ADBIS | A Framework for Learning Cell Interestingness from Cube Explorations. | Patrick Marcel, Vernika Peralta, Panos Vassiliadis |
| 2019 | DOLAP | Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. | Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel |
| 2019 | DOLAP | Towards a Benefit-based Optimizer for Interactive Data Analysis. | Patrick Marcel, Nicolas Labroche, Panos Vassiliadis |
| 2019 | DOLAP | Qualitative Analysis of the SQLShareWorkload for Session Segmentation. | Vernika Peralta, Willeme Verdeaux, Yann Raimont, Patrick Marcel |
| 2018 | DOLAP | Can Models Learned from a Dataset Reflect Acquisition of Procedural Knowledge? An Experiment with Automatic Measurement of Online Review Quality. | Martina Megasari, Pandu Wicaksono, Chiao Yun Li, Clment Chaussade, Shibo Cheng, Nicolas Labroche, Patrick Marcel, Vernika Peralta |
| 2018 | DOLAP | The Road to Highlights is Paved with Good Intentions: Envisioning a Paradigm Shift in OLAP Modeling. | Panos Vassiliadis, Patrick Marcel |
| 2017 | ADBIS | Detecting User Focus in OLAP Analyses. | Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Vernika Peralta |
| 2017 | CaiSE | User Interests Clustering in Business Intelligence Interactions. | Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Vernika Peralta, Bruno Dumant |
| 2015 | DaWaK | Materializing Baseline Views for Deviation Detection Exploratory OLAP. | Pedro Furtado, Sergi Nadal, Vernika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel |
| 2014 | DOLAP | A Holistic Approach to OLAP Sessions Composition: The Falseto Experience. | Julien Aligon, Kamal Boulil, Patrick Marcel, Vernika Peralta |
| 2013 | DaWaK | Predicting Your Next OLAP Query Based on Recent Analytical Sessions. | Marie-Aude Aufaure, Nicolas Kuchmann-Beauger, Patrick Marcel, Stefano Rizzi, Yves Vanrompay |
| 2012 | DOLAP | Towards intensional answers to OLAP queries for analytical sessions. | Patrick Marcel, Rokia Missaoui, Stefano Rizzi |
| 2011 | ADBIS | Mining Preferences from OLAP Query Logs for Proactive Personalization. | Julien Aligon, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Elisa Turricchia |
| 2011 | DASFAA | A Relational View of Pattern Discovery. | Arnaud Giacometti, Patrick Marcel, Arnaud Soulet |
| 2011 | DaWaK | Describing Analytical Sessions Using a Multidimensional Algebra. | Oscar Romero, Patrick Marcel, Alberto Abell, Vernika Peralta, Ladjel Bellatreche |
| 2010 | ADMA | Cube Based Summaries of Large Association Rule Sets. | Marie Ndiaye, Cheikh Talibouya Diop, Arnaud Giacometti, Patrick Marcel, Arnaud Soulet |
| 2009 | DaWaK | Recommending Multidimensional Queries. | Arnaud Giacometti, Patrick Marcel, Elsa Ngre |
| 2009 | DOLAP | Query recommendations for OLAP discovery driven analysis. | Arnaud Giacometti, Patrick Marcel, Elsa Ngre, Arnaud Soulet |
| 2009 | IDEAL | A Framework for Pattern-Based Global Models. | Arnaud Giacometti, Eynollah Khanjari Miyaneh, Patrick Marcel, Arnaud Soulet |
| 2008 | DOLAP | A framework for recommending OLAP queries. | Arnaud Giacometti, Patrick Marcel, Elsa Ngre |
| 2005 | DOLAP | A personalization framework for OLAP queries. | Ladjel Bellatreche, Arnaud Giacometti, Patrick Marcel, Hassina Mouloudi, Dominique Laurent |
| 2001 | DOLAP | Computing Appropriate Representations for Multidimensional Data. | Yeow Wei Choong, Dominique Laurent, Patrick Marcel |
| 1999 | DOLAP | Query Driven Knowledge Discovery in Multidimensional Data. | Jean-Franois Boulicaut, Patrick Marcel, Christophe Rigotti |