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ORCIDPatrick Marcel
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- affiliation: Université de Tours, France
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2020 – today
- 2024
[j20]Matteo Francia, Stefano Rizzi
, Patrick Marcel:
Explaining cube measures through Intentional Analytics. Inf. Syst. 121: 102338 (2024)- [j19]Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Verónika Peralta, Patrick Marcel, Panos Vassiliadis:
Cube query interestingness: Novelty, relevance, peculiarity and surprise. Inf. Syst. 123: 102381 (2024) - [j18]Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Use of Context in Data Quality Management: A Systematic Literature Review. ACM J. Data Inf. Qual. 16(3): 19:1-19:41 (2024) - [c72]Sandro Bimonte, Patrick Marcel, Stefano Rizzi:
Emotional Data Querying: The BI Scenario. SEBD 2024: 122-130 - [i7]Panos Vassiliadis, Patrick Marcel, Faten El Outa, Verónika Peralta, Dimos Gkitsakis:
A Conceptual Model for Data Storytelling Highlights in Business Intelligence Environments. CoRR abs/2403.00981 (2024) - 2023
- [j17]Sandro Bimonte, Enrico Gallinucci, Patrick Marcel, Stefano Rizzi:
Logical design of multi-model data warehouses. Knowl. Inf. Syst. 65(3): 1067-1103 (2023) - [j16]Matteo Francia, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Panos Vassiliadis:
Suggesting Assess Queries for Interactive Analysis of Multidimensional Data. IEEE Trans. Knowl. Data Eng. 35(6): 6421-6434 (2023) - [c71]Sandro Bimonte, Patrick Marcel, Stefano Rizzi:
Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data. ADBIS (Short Papers) 2023: 82-91 - [c70]Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Context-Aware Data Quality Management Methodology. ADBIS (Short Papers) 2023: 245-255 - [c69]Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Verónika Peralta, Patrick Marcel, Panos Vassiliadis:
Assessment Methods for the Interestingness of Cube Queries. DOLAP 2023: 13-22 - [c68]Matteo Francia, Stefano Rizzi, Patrick Marcel:
The Whys and Wherefores of Cubes. DOLAP 2023: 43-50 - [c67]Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux:
Pairwise Loss Regularization for Recommendations Explanation. DOLAP 2023: 91-95 - [c66]Sihem Amer-Yahia, Patrick Marcel, Verónika Peralta:
Data Narration for the People: Challenges and Opportunities. EDBT 2023: 855-858 - [c65]Matteo Francia, Stefano Rizzi, Patrick Marcel:
Using Regression to Explain Cube Measures. SEBD 2023: 555-564 - [i6]Patrick Marcel, Verónika Peralta, Faten El Outa, Panos Vassiliadis:
A declarative approach to data narration. CoRR abs/2303.17141 (2023) - 2022
- [j15]Sandro Bimonte, Enrico Gallinucci, Patrick Marcel, Stefano Rizzi:
Data variety, come as you are in multi-model data warehouses. Inf. Syst. 104: 101734 (2022) - [j14]Kostas Stefanidis, Patrick Marcel, Il-Yeol Song:
Special issue on DOLAP 2021: Design, Optimization, Languages and Analytical Processing of Big Data. Inf. Syst. 108: 102068 (2022) - [j13]Matteo Francia, Patrick Marcel, Verónika Peralta, Stefano Rizzi:
Enhancing Cubes with Models to Describe Multidimensional Data. Inf. Syst. Frontiers 24(1): 31-48 (2022) - [c64]Faten El Outa, Patrick Marcel, Verónika Peralta, Raphaël da Silva, Marie Chagnoux, Panos Vassiliadis:
Data Narrative Crafting via a Comprehensive and Well-Founded Process. ADBIS 2022: 347-360 - [c63]Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart:
Generating Personalized Data Narrations from EDA Notebooks. DOLAP 2022: 91-95 - [c62]Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Stefano Rizzi, Vincent T'kindt:
Automatic generation of comparison notebooks for interactive data exploration. EDBT 2022: 2:274-2:284 - [c61]Nicolas Ringuet, Patrick Marcel, Nicolas Labroche, Thomas Devogele, Christophe Bortolaso:
Modeling Lifelong Pathway Co-construction. ER 2022: 130-144 - [c60]Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Modeling Context for Data Quality Management. ER 2022: 325-335 - [c59]Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Patrick Marcel, Verónika Peralta, Stefano Rizzi:
Describing Multidimensional Data Through Highlights. SEBD 2022: 36-43 - [i5]Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Use of Context in Data Quality Management: a Systematic Literature Review. CoRR abs/2204.10655 (2022) - [i4]Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Verónika Peralta, Patrick Marcel, Panos Vassiliadis:
Cube Interestingness: Novelty, Relevance, Peculiarity and Surprise. CoRR abs/2212.03294 (2022) - 2021
- [c58]Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt:
A Chain Composite Item Recommender for Lifelong Pathways. DaWaK 2021: 55-66 - [c57]Faten El Outa, Patrick Marcel, Verónika Peralta:
Un modèle conceptuel de narration de données. EDA 2021: 49-54 - [c56]Matteo Francia, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Panos Vassiliadis:
Assess Queries for Interactive Analysis of Data Cubes. EDBT 2021: 121-132 - [e4]Kostas Stefanidis, Patrick Marcel:
Proceedings of the 23rd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 24th International Conference on Extending Database Technology and the 24th International Conference on Database Theory (EDBT/ICDT 2021), Nicosia, Cyprus, March 23, 2021. CEUR Workshop Proceedings 2840, CEUR-WS.org 2021 [contents] - 2020
- [j12]Verónika Peralta, Patrick Marcel, Willeme Verdeaux, Aboubakar Sidikhy Diakhaby:
Detecting coherent explorations in SQL workloads. Inf. Syst. 92: 101479 (2020) - [c55]Antoine Chédin, Matteo Francia, Patrick Marcel, Verónika Peralta, Stefano Rizzi:
The Tell-Tale Cube. ADBIS 2020: 204-218 - [c54]Clément Moreau, Verónika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele:
Learning Analysis Patterns using a Contextual Edit Distance. DOLAP 2020: 46-55 - [c53]Sandro Bimonte, Yassine Hifdi, Mohammed Maliari, Patrick Marcel, Stefano Rizzi:
To Each His Own: Accommodating Data Variety by a Multimodel Star Schema. DOLAP 2020: 66-73 - [c52]Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis:
The Traveling Analyst Problem: Definition and Preliminary Study. DOLAP 2020: 94-98 - [c51]Willeme Verdeaux, Clément Moreau, Nicolas Labroche, Patrick Marcel:
Causality based explanations in multi-stakeholder recommendations. EDBT/ICDT Workshops 2020 - [c50]Faten El Outa, Matteo Francia, Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
Supporting the Generation of Data Narratives. ER Forum/Posters/Demos 2020: 168-172 - [c49]Faten El Outa, Matteo Francia, Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
Towards a Conceptual Model for Data Narratives. ER 2020: 261-270 - [c48]Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence. INFORSID 2020: 151-152
2010 – 2019
- 2019
- [j11]Patrick Marcel, Il-Yeol Song:
Special issue on DOLAP 2017: Design, Optimization, Languages and Analytical Processing of Big Data. Inf. Syst. 79: 1-2 (2019) - [j10]Mahfoud Djedaini, Krista Drushku, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux:
Automatic assessment of interactive OLAP explorations. Inf. Syst. 82: 148-163 (2019) - [j9]Panos Vassiliadis, Patrick Marcel, Stefano Rizzi:
Beyond roll-up's and drill-down's: An intentional analytics model to reinvent OLAP. Inf. Syst. 85: 68-91 (2019) - [j8]Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Interest-based recommendations for business intelligence users. Inf. Syst. 86: 79-93 (2019) - [c47]Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
A Framework for Learning Cell Interestingness from Cube Explorations. ADBIS 2019: 425-440 - [c46]Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel:
Profiling User Belief in BI Exploration for Measuring Subjective Interestingness. DOLAP 2019 - [c45]Patrick Marcel, Nicolas Labroche, Panos Vassiliadis:
Towards a Benefit-based Optimizer for Interactive Data Analysis. DOLAP 2019 - [c44]Verónika Peralta, Willeme Verdeaux, Yann Raimont, Patrick Marcel:
Qualitative Analysis of the SQLShareWorkload for Session Segmentation. DOLAP 2019 - [i3]Verónika Peralta, Patrick Marcel, Willeme Verdeaux, Aboubakar Sidikhy Diakhaby:
Detecting coherent explorations in SQL workloads. CoRR abs/1907.05618 (2019) - [i2]Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel:
A Subjective Interestingness measure for Business Intelligence explorations. CoRR abs/1907.06946 (2019) - 2018
- [c43]Martina Megasari, Pandu Wicaksono, Chiao Yun Li, Clément Chaussade, Shibo Cheng, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Can Models Learned from a Dataset Reflect Acquisition of Procedural Knowledge? An Experiment with Automatic Measurement of Online Review Quality. DOLAP 2018 - [c42]Panos Vassiliadis, Patrick Marcel:
The Road to Highlights is Paved with Good Intentions: Envisioning a Paradigm Shift in OLAP Modeling. DOLAP 2018 - [r1]Patrick Marcel:
OLAP Personalization and Recommendation. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Panos Vassiliadis, Patrick Marcel, Stefano Rizzi:
Beyond Roll-Up's and Drill-Down's: An Intentional Analytics Model to Reinvent OLAP (long-version). CoRR abs/1812.07854 (2018) - 2017
- [c41]Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Detecting User Focus in OLAP Analyses. ADBIS 2017: 105-119 - [c40]Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Bruno Dumant:
User Interests Clustering in Business Intelligence Interactions. CAiSE 2017: 144-158 - [c39]Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
A benchmark for assessing OLAP exploration assistants. EDA 2017: 81-84 - [e3]Patrick Marcel, Esteban Zimányi:
Business Intelligence - 6th European Summer School, eBISS 2016, Tours, France, July 3-8, 2016, Tutorial Lectures. Lecture Notes in Business Information Processing 280, Springer 2017, ISBN 978-3-319-61163-1 [contents] - 2016
- [c38]Mahfoud Djedaini, Pedro Furtado, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Benchmarking Exploratory OLAP. TPCTC 2016: 61-77 - 2015
- [j7]Julien Aligon, Enrico Gallinucci, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi:
A collaborative filtering approach for recommending OLAP sessions. Decis. Support Syst. 69: 20-30 (2015) - [c37]Pedro Furtado, Sergi Nadal, Verónika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel:
Materializing Baseline Views for Deviation Detection Exploratory OLAP. DaWaK 2015: 243-254 - [c36]Maximiliano Ariel López, Sergi Nadal, Mahfoud Djedaini, Patrick Marcel, Verónika Peralta, Pedro Furtado:
An Approach for Alert Raising in Real-Time Data Warehouses. EDA 2015: 145-160 - 2014
- [j6]Julien Aligon, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Elisa Turricchia:
Similarity measures for OLAP sessions. Knowl. Inf. Syst. 39(2): 463-489 (2014) - [c35]Julien Aligon, Kamal Boulil, Patrick Marcel, Verónika Peralta:
A Holistic Approach to OLAP Sessions Composition: The Falseto Experience. DOLAP 2014: 37-46 - [c34]Patrick Marcel:
Log-driven user-centric OLAP. MIPRO 2014: 1446-1451 - 2013
- [j5]Marie-Aude Aufaure, Alfredo Cuzzocrea, Cécile Favre, Patrick Marcel, Rokia Missaoui:
An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses. Int. J. Data Warehous. Min. 9(2): 89-109 (2013) - [j4]Arnaud Giacometti, Dominique H. Li, Patrick Marcel, Arnaud Soulet:
20 years of pattern mining: a bibliometric survey. SIGKDD Explor. 15(1): 41-50 (2013) - [c33]Marie-Aude Aufaure, Nicolas Kuchmann-Beauger, Patrick Marcel, Stefano Rizzi, Yves Vanrompay:
Predicting Your Next OLAP Query Based on Recent Analytical Sessions. DaWaK 2013: 134-145 - [e2]Patrick Marcel:
Actes des 9èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, EDA 2013, Blois, France, Juin 13-14, 2013. RNTI B-9, Hermann 2013 [contents] - 2012
- [b1]Patrick Marcel:
Leveraging query logs for user-centric OLAP. François Rabelais University, Tours, France, 2012 - [j3]Selma Khouri, Ladjel Bellatreche, Patrick Marcel:
Une démarche de conception d'un entrepôt sémantique matérialisant les données et les besoins. Ingénierie des Systèmes d Inf. 17(5): 9-34 (2012) - [c32]Patrick Marcel, Rokia Missaoui, Stefano Rizzi:
Towards intensional answers to OLAP queries for analytical sessions. DOLAP 2012: 49-56 - [c31]Julien Aligon, Patrick Marcel:
Summarizing former sessions for user-centric OLAP. EDA 2012: 139-153 - 2011
- [j2]Arnaud Giacometti, Patrick Marcel, Elsa Negre, Arnaud Soulet:
Query Recommendations for OLAP Discovery-Driven Analysis. Int. J. Data Warehous. Min. 7(2): 1-25 (2011) - [c30]Julien Aligon, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Elisa Turricchia:
Mining Preferences from OLAP Query Logs for Proactive Personalization. ADBIS 2011: 84-97 - [c29]Arnaud Giacometti, Patrick Marcel, Arnaud Soulet:
A Relational View of Pattern Discovery. DASFAA (1) 2011: 153-167 - [c28]Oscar Romero, Patrick Marcel, Alberto Abelló, Verónika Peralta, Ladjel Bellatreche:
Describing Analytical Sessions Using a Multidimensional Algebra. DaWaK 2011: 224-239 - [c27]Patrick Marcel:
OLAP Query Personalisation and Recommendation: An Introduction. eBISS 2011: 63-83 - [c26]Patrick Marcel, Elsa Negre:
A survey of query recommendation techniques for data warehouse exploration. EDA 2011: 119-134 - [c25]Arnaud Giacometti, Patrick Marcel, Arnaud Soulet:
Equilibrer l'analyse des motifs fréquents. EGC 2011: 47-52 - [c24]Julien Aligon, Patrick Marcel, Elsa Negre:
Résumés et interrogations de logs de requête OLAP. EGC 2011: 239-250 - [c23]Selma Khouri, Ladjel Bellatreche, Patrick Marcel:
Embedding User's Requirements in Data Warehouse Repositories. OTM Workshops 2011: 35-36 - [c22]Julien Aligon, Patrick Marcel, Elsa Negre:
Summarizing and Querying Logs of OLAP Queries. EGC (best of volume) 2011: 99-124 - 2010
- [c21]Marie Ndiaye, Cheikh Talibouya Diop, Arnaud Giacometti, Patrick Marcel, Arnaud Soulet:
Cube Based Summaries of Large Association Rule Sets. ADMA (1) 2010: 73-85 - [c20]Sonia Colas, Patrick Marcel, Elsa Negre:
Organisation de log de requêtes OLAP sous forme de site web. EDA 2010: 81-95
2000 – 2009
- 2009
- [c19]Arnaud Giacometti, Patrick Marcel, Elsa Negre:
Recommending Multidimensional Queries. DaWaK 2009: 453-466 - [c18]Arnaud Giacometti, Patrick Marcel, Elsa Negre, Arnaud Soulet:
Query recommendations for OLAP discovery driven analysis. DOLAP 2009: 81-88 - [c17]Patrick Marcel:
OLAP query suggestion and discovery driven analysis. EDA 2009: 37-48 - [c16]Arnaud Giacometti, Eynollah Khanjari Miyaneh, Patrick Marcel, Arnaud Soulet:
A Framework for Pattern-Based Global Models. IDEAL 2009: 433-440 - 2008
- [c15]Arnaud Giacometti, Patrick Marcel, Elsa Negre:
A framework for recommending OLAP queries. DOLAP 2008: 73-80 - 2007
- [c14]Yeow Wei Choong, Arnaud Giacometti, Dominique Laurent, Patrick Marcel, Elsa Negre, Nicolas Spyratos:
Context-based exploitation of data warehouses. EDA 2007: 131-146 - [e1]Ladjel Bellatreche, Arnaud Giacometti, Patrick Marcel:
Actes des 3èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, EDA 2007, Poitiers, France, Juin 2007. RNTI B-3, Cépaduès 2007, ISBN 978-2-85428-782-0 [contents] - 2006
- [c13]Hassina Mouloudi, Ladjel Bellatreche, Arnaud Giacometti, Patrick Marcel:
Personalization of MDX Queries. BDA 2006 - [c12]Arnaud Giacometti, Patrick Marcel, Elsa Negre:
OLAP : un pas vers la navigation. EDA 2006: 105-118 - 2005
- [c11]Ladjel Bellatreche, Arnaud Giacometti, Patrick Marcel, Hassina Mouloudi, Dominique Laurent:
A personalization framework for OLAP queries. DOLAP 2005: 9-18 - 2004
- [c10]Arnaud Giacometti, Dominique Laurent, Patrick Marcel, Hassina Mouloudi:
A new way of optimizing OLAP queries. BDA 2004: 513-534 - [c9]Arnaud Giacometti, Patrick Marcel, Hassina Mouloudi:
Manipulation de représentations de cubes de données. EGC 2004: 109 - 2003
- [j1]Yeow Wei Choong, Dominique Laurent, Patrick Marcel:
Computing appropriate representations for multidimensional data. Data Knowl. Eng. 45(2): 181-203 (2003) - 2001
- [c8]Jean-François Boulicaut, Patrick Marcel, Christophe Rigotti:
Query-Driven Knowledge Discovery via OLAP manipulations. BDA 2001 - [c7]Yeow Wei Choong, Dominique Laurent, Patrick Marcel:
Computing Appropriate Representations for Multidimensional Data. DOLAP 2001: 16-23
1990 – 1999
- 1999
- [c6]Jean-François Boulicaut, Patrick Marcel, Christophe Rigotti:
Query Driven Knowledge Discovery in Multidimensional Data. DOLAP 1999: 87-93 - 1998
- [c5]Jean-François Boulicaut, Patrick Marcel, François Pinet, Christophe Rigotti:
Spreadsheet Generation from Rule-Based Specifications. DDLP 1998: 59-70 - [c4]Mohand-Said Hacid, Patrick Marcel, Christophe Rigotti:
Rule-based restructuring and summarizing in multidimensional data-bases. JFPLC 1998: 115-134 - 1997
- [c3]Mohand-Said Hacid, Patrick Marcel, Christophe Rigotti:
A Rule-Based CQL for 2-Dimensional Tables. CDB 1997: 92-104 - [c2]Mohand-Said Hacid, Patrick Marcel, Christophe Rigotti:
Extending Datalog for Ordered Multidimensional Databases. DDLP 1997 - [c1]Mohand-Said Hacid, Patrick Marcel, Christophe Rigotti:
A Rule-Based Data Manipulation Language for OLAP Systems. DOOD 1997: 417-418
Coauthor Index
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