A Rule-Based CQL for 2-Dimensional Tables. - Mohand-Said Hacid; Patrick Marcel; Christophe Rigotti (CDB, 1997)

Extending Datalog for Ordered Multidimensional Databases. - Mohand-Said Hacid; Patrick Marcel; Christophe Rigotti (DDLP, 1997)

A Rule-Based Data Manipulation Language for OLAP Systems. - Mohand-Said Hacid; Patrick Marcel; Christophe Rigotti (DOOD, 1997)

Spreadsheet Generation from Rule-Based Specifications. - Jean-François Boulicaut; Patrick Marcel; François Pinet; Christophe Rigotti (DDLP, 1998)

Rule-based restructuring and summarizing in multidimensional data-bases. - Mohand-Said Hacid; Patrick Marcel; Christophe Rigotti (JFPLC, 1998)

Query Driven Knowledge Discovery in Multidimensional Data. - Jean-François Boulicaut; Patrick Marcel; Christophe Rigotti (DOLAP, 1999)

Query-Driven Knowledge Discovery via OLAP manipulations. - Jean-François Boulicaut; Patrick Marcel; Christophe Rigotti (BDA, 2001)

Computing appropriate representations for multidimensional data. - Yeow Wei Choong; Dominique Laurent 001; Patrick Marcel (Data Knowl. Eng., 2003)

A new way of optimizing OLAP queries. - Arnaud Giacometti; Dominique Laurent 001; Patrick Marcel; Hassina Mouloudi (BDA, 2004)

Manipulation de représentations de cubes de données. - Arnaud Giacometti; Patrick Marcel; Hassina Mouloudi (EGC, 2004)

A personalization framework for OLAP queries. - Ladjel Bellatreche; Arnaud Giacometti; Patrick Marcel; Hassina Mouloudi; Dominique Laurent 001 (DOLAP, 2005)

Personalization of MDX Queries. - Hassina Mouloudi; Ladjel Bellatreche; Arnaud Giacometti; Patrick Marcel (BDA, 2006)

OLAP : un pas vers la navigation. - Arnaud Giacometti; Patrick Marcel; Elsa Negre (EDA, 2006)

Context-based exploitation of data warehouses. - Yeow Wei Choong; Arnaud Giacometti; Dominique Laurent 001; Patrick Marcel; Elsa Negre; Nicolas Spyratos (EDA, 2007)

A framework for recommending OLAP queries. - Arnaud Giacometti; Patrick Marcel; Elsa Negre (DOLAP, 2008)

Recommending Multidimensional Queries. - Arnaud Giacometti; Patrick Marcel; Elsa Negre (DaWaK, 2009)

OLAP query suggestion and discovery driven analysis. - Patrick Marcel (EDA, 2009)

A Framework for Pattern-Based Global Models. - Arnaud Giacometti; Eynollah Khanjari Miyaneh; Patrick Marcel; Arnaud Soulet (IDEAL, 2009)

Cube Based Summaries of Large Association Rule Sets. - Marie Ndiaye; Cheikh Talibouya Diop; Arnaud Giacometti; Patrick Marcel; Arnaud Soulet (ADMA (1), 2010)

Organisation de log de requêtes OLAP sous forme de site web. - Sonia Colas; Patrick Marcel; Elsa Negre (EDA, 2010)

Mining Preferences from OLAP Query Logs for Proactive Personalization. - Julien Aligon; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi; Elisa Turricchia (ADBIS, 2011)

A Relational View of Pattern Discovery. - Arnaud Giacometti; Patrick Marcel; Arnaud Soulet (DASFAA (1), 2011)

Describing Analytical Sessions Using a Multidimensional Algebra. - Oscar Romero 001; Patrick Marcel; Alberto Abelló; Verónika Peralta; Ladjel Bellatreche (DaWaK, 2011)

OLAP Query Personalisation and Recommendation: An Introduction. - Patrick Marcel (eBISS, 2011)

A survey of query recommendation techniques for data warehouse exploration. - Patrick Marcel; Elsa Negre (EDA, 2011)

Résumés et interrogations de logs de requête OLAP. - Julien Aligon; Patrick Marcel; Elsa Negre (EGC, 2011)

Equilibrer l'analyse des motifs fréquents. - Arnaud Giacometti; Patrick Marcel; Arnaud Soulet (EGC, 2011)

Embedding User's Requirements in Data Warehouse Repositories. - Selma Khouri; Ladjel Bellatreche; Patrick Marcel (OTM Workshops, 2011)

Query Recommendations for OLAP Discovery-Driven Analysis. - Arnaud Giacometti; Patrick Marcel; Elsa Negre; Arnaud Soulet (Int. J. Data Warehous. Min., 2011)

Summarizing and Querying Logs of OLAP Queries. - Julien Aligon; Patrick Marcel; Elsa Negre (EGC (best of volume), 2011)

Leveraging query logs for user-centric OLAP. - Patrick Marcel (2012)

Towards intensional answers to OLAP queries for analytical sessions. - Patrick Marcel; Rokia Missaoui; Stefano Rizzi (DOLAP, 2012)

Summarizing former sessions for user-centric OLAP. - Julien Aligon; Patrick Marcel (EDA, 2012)

Une démarche de conception d'un entrepôt sémantique matérialisant les données et les besoins. - Selma Khouri; Ladjel Bellatreche; Patrick Marcel (Ingénierie des Systèmes d Inf., 2012)

Predicting Your Next OLAP Query Based on Recent Analytical Sessions. - Marie-Aude Aufaure; Nicolas Kuchmann-Beauger; Patrick Marcel; Stefano Rizzi; Yves Vanrompay (DaWaK, 2013)

An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses. - Marie-Aude Aufaure; Alfredo Cuzzocrea; Cécile Favre; Patrick Marcel; Rokia Missaoui (Int. J. Data Warehous. Min., 2013)

20 years of pattern mining: a bibliometric survey. - Arnaud Giacometti; Dominique H. Li; Patrick Marcel; Arnaud Soulet (SIGKDD Explor., 2013)

A Holistic Approach to OLAP Sessions Composition: The Falseto Experience. - Julien Aligon; Kamal Boulil; Patrick Marcel; Verónika Peralta (DOLAP, 2014)

Log-driven user-centric OLAP. - Patrick Marcel (MIPRO, 2014)

Similarity measures for OLAP sessions. - Julien Aligon; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi; Elisa Turricchia (Knowl. Inf. Syst., 2014)

Materializing Baseline Views for Deviation Detection Exploratory OLAP. - Pedro Furtado 001; Sergi Nadal; Verónika Peralta; Mahfoud Djedaini; Nicolas Labroche; Patrick Marcel (DaWaK, 2015)

An Approach for Alert Raising in Real-Time Data Warehouses. - Maximiliano Ariel López; Sergi Nadal; Mahfoud Djedaini; Patrick Marcel; Verónika Peralta; Pedro Furtado 001 (EDA, 2015)

A collaborative filtering approach for recommending OLAP sessions. - Julien Aligon; Enrico Gallinucci; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi (Decis. Support Syst., 2015)

Benchmarking Exploratory OLAP. - Mahfoud Djedaini; Pedro Furtado 001; Nicolas Labroche; Patrick Marcel; Verónika Peralta (TPCTC, 2016)

Detecting User Focus in OLAP Analyses. - Mahfoud Djedaini; Nicolas Labroche; Patrick Marcel; Verónika Peralta (ADBIS, 2017)

User Interests Clustering in Business Intelligence Interactions. - Krista Drushku; Julien Aligon; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Bruno Dumant (CAiSE, 2017)

A benchmark for assessing OLAP exploration assistants. - Mahfoud Djedaini; Nicolas Labroche; Patrick Marcel; Verónika Peralta (EDA, 2017)

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; Clément Chaussade; Shibo Cheng; Nicolas Labroche; Patrick Marcel; Verónika Peralta (DOLAP, 2018)

The Road to Highlights is Paved with Good Intentions: Envisioning a Paradigm Shift in OLAP Modeling. - Panos Vassiliadis; Patrick Marcel (DOLAP, 2018)

Beyond Roll-Up's and Drill-Down's: An Intentional Analytics Model to Reinvent OLAP (long-version). - Panos Vassiliadis; Patrick Marcel; Stefano Rizzi (CoRR, 2018)

OLAP Personalization and Recommendation. - Patrick Marcel (Encyclopedia of Database Systems (2nd ed.), 2018)

A Framework for Learning Cell Interestingness from Cube Explorations. - Patrick Marcel; Verónika Peralta; Panos Vassiliadis (ADBIS, 2019)

Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. - Alexandre Chanson; Ben Crulis; Krista Drushku; Nicolas Labroche; Patrick Marcel (DOLAP, 2019)

Towards a Benefit-based Optimizer for Interactive Data Analysis. - Patrick Marcel; Nicolas Labroche; Panos Vassiliadis (DOLAP, 2019)

Qualitative Analysis of the SQLShareWorkload for Session Segmentation. - Verónika Peralta; Willeme Verdeaux; Yann Raimont; Patrick Marcel (DOLAP, 2019)

A Subjective Interestingness measure for Business Intelligence explorations. - Alexandre Chanson; Ben Crulis; Nicolas Labroche; Patrick Marcel (CoRR, 2019)

Automatic assessment of interactive OLAP explorations. - Mahfoud Djedaini; Krista Drushku; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Willeme Verdeaux (Inf. Syst., 2019)

Interest-based recommendations for business intelligence users. - Krista Drushku; Julien Aligon; Nicolas Labroche; Patrick Marcel; Verónika Peralta (Inf. Syst., 2019)

Special issue on DOLAP 2017: Design, Optimization, Languages and Analytical Processing of Big Data. - Patrick Marcel; Il-Yeol Song (Inf. Syst., 2019)

Beyond roll-up's and drill-down's: An intentional analytics model to reinvent OLAP. - Panos Vassiliadis; Patrick Marcel; Stefano Rizzi (Inf. Syst., 2019)

The Tell-Tale Cube. - Antoine Chédin; Matteo Francia; Patrick Marcel; Verónika Peralta; Stefano Rizzi (ADBIS, 2020)

To Each His Own: Accommodating Data Variety by a Multimodel Star Schema. - Sandro Bimonte; Yassine Hifdi; Mohammed Maliari; Patrick Marcel; Stefano Rizzi (DOLAP, 2020)

The Traveling Analyst Problem: Definition and Preliminary Study. - Alexandre Chanson; Ben Crulis; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Stefano Rizzi; Panos Vassiliadis (DOLAP, 2020)

Learning Analysis Patterns using a Contextual Edit Distance. - Clément Moreau; Verónika Peralta; Patrick Marcel; Alexandre Chanson; Thomas Devogele (DOLAP, 2020)

Causality based explanations in multi-stakeholder recommendations. - Willeme Verdeaux; Clément Moreau; Nicolas Labroche; Patrick Marcel (EDBT/ICDT Workshops, 2020)

Towards a Conceptual Model for Data Narratives. - Faten El Outa; Matteo Francia; Patrick Marcel; Verónika Peralta; Panos Vassiliadis (ER, 2020)

Supporting the Generation of Data Narratives. - Faten El Outa; Matteo Francia; Patrick Marcel; Verónika Peralta; Panos Vassiliadis (ER Forum/Posters/Demos, 2020)

Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence. - Krista Drushku; Julien Aligon; Nicolas Labroche; Patrick Marcel; Verónika Peralta (INFORSID, 2020)

Detecting coherent explorations in SQL workloads. - Verónika Peralta; Patrick Marcel; Willeme Verdeaux; Aboubakar Sidikhy Diakhaby (Inf. Syst., 2020)

A Chain Composite Item Recommender for Lifelong Pathways. - Alexandre Chanson; Thomas Devogele; Nicolas Labroche; Patrick Marcel; Nicolas Ringuet; Vincent T'kindt (DaWaK, 2021)

Un modèle conceptuel de narration de données. - Faten El Outa; Patrick Marcel; Verónika Peralta (EDA, 2021)

Assess Queries for Interactive Analysis of Data Cubes. - Matteo Francia; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi; Panos Vassiliadis (EDBT, 2021)

Data Narrative Crafting via a Comprehensive and Well-Founded Process. - Faten El Outa; Patrick Marcel; Verónika Peralta; Raphaël da Silva; Marie Chagnoux; Panos Vassiliadis (ADBIS, 2022)

Generating Personalized Data Narrations from EDA Notebooks. - Alexandre Chanson; Faten El Outa; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Willeme Verdeaux; Lucile Jacquemart (DOLAP, 2022)

Automatic generation of comparison notebooks for interactive data exploration. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Stefano Rizzi; Vincent T'kindt (EDBT, 2022)

Modeling Lifelong Pathway Co-construction. - Nicolas Ringuet; Patrick Marcel; Nicolas Labroche; Thomas Devogele; Christophe Bortolaso (ER, 2022)

Modeling Context for Data Quality Management. - Flavia Serra; Verónika Peralta; Adriana Marotta; Patrick Marcel (ER, 2022)

Describing Multidimensional Data Through Highlights. - Matteo Francia; Enrico Gallinucci; Matteo Golfarelli; Patrick Marcel; Verónika Peralta; Stefano Rizzi (SEBD, 2022)

Cube Interestingness: Novelty, Relevance, Peculiarity and Surprise. - Dimos Gkitsakis; Spyridon Kaloudis; Eirini Mouselli; Verónika Peralta; Patrick Marcel; Panos Vassiliadis (CoRR, 2022)

Data variety, come as you are in multi-model data warehouses. - Sandro Bimonte; Enrico Gallinucci; Patrick Marcel; Stefano Rizzi (Inf. Syst., 2022)

Special issue on DOLAP 2021: Design, Optimization, Languages and Analytical Processing of Big Data. - Kostas Stefanidis; Patrick Marcel; Il-Yeol Song (Inf. Syst., 2022)

Enhancing Cubes with Models to Describe Multidimensional Data. - Matteo Francia; Patrick Marcel; Verónika Peralta; Stefano Rizzi (Inf. Syst. Frontiers, 2022)

Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data. - Sandro Bimonte; Patrick Marcel; Stefano Rizzi (ADBIS (Short Papers), 2023)

Context-Aware Data Quality Management Methodology. - Flavia Serra; Verónika Peralta; Adriana Marotta; Patrick Marcel (ADBIS (Short Papers), 2023)

Pairwise Loss Regularization for Recommendations Explanation. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Willeme Verdeaux (DOLAP, 2023)

The Whys and Wherefores of Cubes. - Matteo Francia; Stefano Rizzi; Patrick Marcel (DOLAP, 2023)

Assessment Methods for the Interestingness of Cube Queries. - Dimos Gkitsakis; Spyridon Kaloudis; Eirini Mouselli; Verónika Peralta; Patrick Marcel; Panos Vassiliadis (DOLAP, 2023)

Data Narration for the People: Challenges and Opportunities. - Sihem Amer-Yahia; Patrick Marcel; Verónika Peralta (EDBT, 2023)

Using Regression to Explain Cube Measures. - Matteo Francia; Stefano Rizzi; Patrick Marcel (SEBD, 2023)

A declarative approach to data narration. - Patrick Marcel; Verónika Peralta; Faten El Outa; Panos Vassiliadis (CoRR, 2023)

Logical design of multi-model data warehouses. - Sandro Bimonte; Enrico Gallinucci; Patrick Marcel; Stefano Rizzi (Knowl. Inf. Syst., 2023)

Suggesting Assess Queries for Interactive Analysis of Multidimensional Data. - Matteo Francia; Matteo Golfarelli; Patrick Marcel; Stefano Rizzi; Panos Vassiliadis (IEEE Trans. Knowl. Data Eng., 2023)

Interestingness Measures for Exploratory Data Analysis: a Survey. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Verónika Peralta; Panos Vassiliadis (ADBIS (Short Papers), 2024)

Emotional Data Querying: The BI Scenario. - Sandro Bimonte; Patrick Marcel; Stefano Rizzi (SEBD, 2024)

A Conceptual Model for Data Storytelling Highlights in Business Intelligence Environments. - Panos Vassiliadis; Patrick Marcel; Faten El Outa; Verónika Peralta; Dimos Gkitsakis (CoRR, 2024)

Cube query interestingness: Novelty, relevance, peculiarity and surprise. - Dimos Gkitsakis; Spyridon Kaloudis; Eirini Mouselli; Verónika Peralta; Patrick Marcel; Panos Vassiliadis (Inf. Syst., 2024)

Explaining cube measures through Intentional Analytics. - Matteo Francia; Stefano Rizzi; Patrick Marcel (Inf. Syst., 2024)

Use of Context in Data Quality Management: A Systematic Literature Review. - Flavia Serra; Verónika Peralta; Adriana Marotta; Patrick Marcel (ACM J. Data Inf. Qual., 2024)

Highlighting the Importance of Intentional Aspects in Data Narrative Crafting Processes. - Faten El Outa; Patrick Marcel; Verónika Peralta; Panos Vassiliadis (Inf. Syst. Frontiers, 2024)

Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis. - Alexandre Chanson; Nicolas Labroche; Patrick Marcel; Vincent T'kindt (IEEE Trans. Knowl. Data Eng., 2024)

Finding comparison insights in multidimensional datasets. - Patrick Marcel; Claire Antoine; Alexandre Chanson; Nicolas Labroche (DOLAP, 2025)

Can Operations Research bring you to the next level? Basics and application. - Vincent T'kindt; Patrick Marcel (EDBT, 2025)