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ORCIDVerónika Peralta
Person information
- affiliation: University of Tours, France
- affiliation (former): University of the Republic, Montevideo, Uruguay
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2020 – today
- 2024
[b2]Verónika Peralta:
Leveraging users' behavior, intentions and interests for enhancing Exploratory Data Analysis and Data Narration. University of Tours, France, 2024- [j9]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) - [j8]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) - [i6]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
- [c47]Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Context-Aware Data Quality Management Methodology. ADBIS (Short Papers) 2023: 245-255 - [c46]Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Verónika Peralta, Patrick Marcel, Panos Vassiliadis:
Assessment Methods for the Interestingness of Cube Queries. DOLAP 2023: 13-22 - [c45]Sihem Amer-Yahia, Patrick Marcel, Verónika Peralta:
Data Narration for the People: Challenges and Opportunities. EDBT 2023: 855-858 - [i5]Patrick Marcel, Verónika Peralta, Faten El Outa, Panos Vassiliadis:
A declarative approach to data narration. CoRR abs/2303.17141 (2023) - 2022
- [j7]Clement Moreau, Clement Legroux, Verónika Peralta, Mohamed Ali Hamrouni:
Mining SQL workloads for learning analysis behavior. Inf. Syst. 108: 102004 (2022) - [j6]Matteo Francia, Patrick Marcel, Verónika Peralta, Stefano Rizzi:
Enhancing Cubes with Models to Describe Multidimensional Data. Inf. Syst. Frontiers 24(1): 31-48 (2022) - [c44]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 - [c43]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 - [c42]Raymond Ondzigue Mbenga, Verónika Peralta, Edgard Brice Ngoungou, Sydney Maghendji Nzondo, Thomas Devogele:
Narration de données en santé publique: cas de la tuberculose au Gabon. EDA 2022: 99-105 - [c41]Raymond Ondzigue Mbenga, Verónika Peralta, Thomas Devogele, Faten El Outa, Sydney Maghendji Nzondo, Edgard Brice Ngoungou:
A data narrative about tuberculosis pandemic in Gabon. EDBT/ICDT Workshops 2022 - [c40]Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Modeling Context for Data Quality Management. ER 2022: 325-335 - [c39]Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Patrick Marcel, Verónika Peralta, Stefano Rizzi:
Describing Multidimensional Data Through Highlights. SEBD 2022: 36-43 - [i4]Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Use of Context in Data Quality Management: a Systematic Literature Review. CoRR abs/2204.10655 (2022) - [i3]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
- [c38]Clement Moreau, Verónika Peralta:
Learning Analysis Behavior in SQL Workloads. DOLAP 2021: 61-70 - [c37]Faten El Outa, Patrick Marcel, Verónika Peralta:
Un modèle conceptuel de narration de données. EDA 2021: 49-54 - [c36]Clement Moreau, Thomas Devogele, Cyril de Runz, Verónika Peralta, Evelyne Moreau, Laurent Étienne:
A Fuzzy Generalisation of the Hamming Distance for Temporal Sequences. FUZZ-IEEE 2021: 1-8 - [c35]Clement Moreau, Alexandre Chanson, Verónika Peralta, Thomas Devogele, Cyril de Runz:
Clustering sequences of multi-dimensional sets of semantic elements. SAC 2021: 384-391 - [e1]Julien Aligon, Verónika Peralta:
Business Intelligence & Big Data, Actes de la conférence EDA 2021, en distanciel, 01-02 juillet 2021. RNTI B-17, Editions RNTI 2021, ISBN 979-10-96289-17-2 [contents] - 2020
- [j5]Verónika Peralta, Patrick Marcel, Willeme Verdeaux, Aboubakar Sidikhy Diakhaby:
Detecting coherent explorations in SQL workloads. Inf. Syst. 92: 101479 (2020) - [c34]Antoine Chédin, Matteo Francia, Patrick Marcel, Verónika Peralta, Stefano Rizzi:
The Tell-Tale Cube. ADBIS 2020: 204-218 - [c33]Clément Moreau, Verónika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele:
Learning Analysis Patterns using a Contextual Edit Distance. DOLAP 2020: 46-55 - [c32]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 - [c31]Faten El Outa, Matteo Francia, Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
Supporting the Generation of Data Narratives. ER Forum/Posters/Demos 2020: 168-172 - [c30]Faten El Outa, Matteo Francia, Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
Towards a Conceptual Model for Data Narratives. ER 2020: 261-270 - [c29]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 - [c28]Clement Moreau, Thomas Devogele, Verónika Peralta, Laurent Étienne:
A contextual edit distance for semantic trajectories. SAC 2020: 635-637 - [i2]Clement Moreau, Thomas Devogele, Laurent Étienne, Verónika Peralta, Cyril de Runz:
Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors. CoRR abs/2012.04767 (2020)
2010 – 2019
- 2019
- [j4]Mahfoud Djedaini, Krista Drushku, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux:
Automatic assessment of interactive OLAP explorations. Inf. Syst. 82: 148-163 (2019) - [j3]Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Interest-based recommendations for business intelligence users. Inf. Syst. 86: 79-93 (2019) - [c27]Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
A Framework for Learning Cell Interestingness from Cube Explorations. ADBIS 2019: 425-440 - [c26]Verónika Peralta, Willeme Verdeaux, Yann Raimont, Patrick Marcel:
Qualitative Analysis of the SQLShareWorkload for Session Segmentation. DOLAP 2019 - [i1]Verónika Peralta, Patrick Marcel, Willeme Verdeaux, Aboubakar Sidikhy Diakhaby:
Detecting coherent explorations in SQL workloads. CoRR abs/1907.05618 (2019) - 2018
- [c25]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 - 2017
- [c24]Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Detecting User Focus in OLAP Analyses. ADBIS 2017: 105-119 - [c23]Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Bruno Dumant:
User Interests Clustering in Business Intelligence Interactions. CAiSE 2017: 144-158 - [c22]Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
A benchmark for assessing OLAP exploration assistants. EDA 2017: 81-84 - 2016
- [c21]Mahfoud Djedaini, Pedro Furtado, Nicolas Labroche, Patrick Marcel, Verónika Peralta:
Benchmarking Exploratory OLAP. TPCTC 2016: 61-77 - 2015
- [c20]Pedro Furtado, Sergi Nadal, Verónika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel:
Materializing Baseline Views for Deviation Detection Exploratory OLAP. DaWaK 2015: 243-254 - [c19]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
- [c18]Cheikh Ba, Umberto Souza da Costa, Mírian Halfeld Ferrari, Rémy Ferré, Martin A. Musicante, Verónika Peralta, Sophie Robert:
Preference-driven Refinement of Service Compositions. CLOSER 2014: 268-275 - [c17]Julien Aligon, Kamal Boulil, Patrick Marcel, Verónika Peralta:
A Holistic Approach to OLAP Sessions Composition: The Falseto Experience. DOLAP 2014: 37-46 - 2011
- [j2]Laure Berti-Équille, Isabelle Comyn-Wattiau, Mireille Cosquer, Zoubida Kedad, Sylvaine Nugier, Verónika Peralta, Samira Si-Said Cherfi, Virginie Thion-Goasdoué:
Assessment and analysis of information quality: a multidimensional model and case studies. Int. J. Inf. Qual. 2(4): 300-323 (2011) - [c16]Oscar Romero, Patrick Marcel, Alberto Abelló, Verónika Peralta, Ladjel Bellatreche:
Describing Analytical Sessions Using a Multidimensional Algebra. DaWaK 2011: 224-239
2000 – 2009
- 2009
- [c15]Laura González, Verónika Peralta, Mokrane Bouzeghoub, Raúl Ruggia:
Qbox-Services: Towards a Service-Oriented Quality Platform. ER Workshops 2009: 232-242 - [c14]Verónika Peralta, Virginie Thion-Goasdoué, Zoubida Kedad, Laure Berti-Équille, Isabelle Comyn-Wattiau, Sylvaine Nugier, Samira Si-Said Cherfi:
Multidimensional Management and Analysis of Quality Measures for CRM Applications in an Electricity Company. ICIQ 2009: 202-215 - 2007
- [c13]Jacky Akoka, Laure Berti-Équille, Omar Boucelma, Mokrane Bouzeghoub, Isabelle Comyn-Wattiau, Mireille Cosquer, Virginie Goasdoué-Thion, Zoubida Kedad, Sylvaine Nugier, Verónika Peralta, Samira Si-Said Cherfi:
A Framework for Quality Evaluation in Data Integration Systems. ICEIS (3) 2007: 170-175 - [c12]Mokrane Bouzeghoub, Sylvie Calabretto, Nathalie Denos, Rami Harrathi, Dimitre Kostadinov, An-Te Nguyen, Verónika Peralta:
Accès personnalisé aux informations: approche dirigée par la qualité. INFORSID 2007: 105-120 - 2006
- [b1]Verónika Peralta:
Data Quality Evaluation in Data Integration Systems. Versailles Saint-Quentin-en-Yvelines University, France, 2006 - 2005
- [c11]Daniela Grigori, Verónika Peralta, Mokrane Bouzeghoub:
Service Retrieval Based on Behavioral Specifications and Quality Requirements. Business Process Management 2005: 392-397 - [c10]Mokrane Bouzeghoub, Verónika Peralta:
Data Freshness Evaluation in Different Application Scenarios. EGC (Ateliers) 2005: 371-379 - [c9]Dimitre Kostadinov, Verónika Peralta, Assia Soukane, Xiaohui Xue:
Intégration de données hétérogènes basée sur la qualité. INFORSID 2005: 471-486 - 2004
- [j1]Verónika Peralta, Raúl Ruggia, Mokrane Bouzeghoub:
Analyzing and Evaluating Data Freshness in Data Integration Systems. Ingénierie des Systèmes d Inf. 9(5-6): 145-162 (2004) - [c8]Verónika Peralta, Mokrane Bouzeghoub:
On the evaluation of data freshness in data integration systems. BDA 2004: 287-307 - [c7]Dimitre Kostadinov, Verónika Peralta, Assia Soukane, Xiaohui Xue:
Système Adaptatif d'aide à la Génération de Requêtes de Médiation. BDA 2004: 351-355 - [c6]Mokrane Bouzeghoub, Verónika Peralta:
A Framework for Analysis of Data Freshness. IQIS 2004: 59-67 - [c5]Verónika Peralta, Raúl Ruggia, Zoubida Kedad, Mokrane Bouzeghoub:
A Framework for Data Quality Evaluation in a Data Integration System. SBBD 2004: 134-147 - 2003
- [c4]Verónika Peralta, Alvaro Illarze, Raúl Ruggia:
On the Applicability of Rules to Automate Data Warehouse Logical Design. CAiSE Workshops 2003 - [c3]Verónika Peralta, Alvaro Illarze, Raúl Ruggia:
Towards the Automation of Data Warehouse Logical Design: a Rule-Based Approach. CAiSE Short Paper Proceedings 2003 - [c2]Verónika Peralta, Raúl Ruggia:
Using Design Guidelines to Improve Data Warehouse Logical Design. DMDW 2003 - [c1]Regina Motz, Raúl Ruggia, Jorge Abin, Adriana Marotta, Fernando Carpani, Verónika Peralta:
Proyecto SICO: Sistemas de Información en un entorno Cooperativo. JISBD 2003: 501-508
Coauthor Index
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