Verónika Peralta

VLDB 2026 Research / reviewers in the wild / expert

dblp:p/VeronikaPeralta · also Verónika del Carmen Peralta Costabel · DBLP profile ↗

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26ranked-venue papers in the field

2as first author

11since 2021 · last 2026

0000-0002-9236-9088ORCID · verified

Domains — venue-derived; a paper can count in several

Database Systems & Data Management · 21 (2 first)Business Process & Enterprise Data · 3Data Mining & Knowledge Discovery · 2

Year	Publication	Venue	Position
2026	A Dual-Faceted Framework for Modeling Temporal Semantic Sequences Hiba Merakchi, Cyril de Runz, Thomas Devogele, Verónika Peralta	DEXA (2)	4
2026	On the Efficacy of Using LLMs for Context Driven Entity Augmentation in Property Graphs Felipe F. Vasconcelos, Cristina Dutra de Aguiar Ciferri, Alexandre Chanson, Mirian Halfeld Ferrari Alves, Patrick Marcel, Verónika Peralta	DOLAP	6
2025	Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis Guillaume Tejedor, Verónika Peralta, Nicolas Labroche, Patrick Marcel, Hélène Blasco, Hugo Alarcan	ADBIS	2
2024	Cube query interestingness: Novelty, relevance, peculiarity and surprise Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Verónika Peralta, Patrick Marcel, Panos Vassiliadis	Inf. Syst.	4
2023	Assessment Methods for the Interestingness of Cube Queries Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Verónika Peralta, Patrick Marcel, Panos Vassiliadis	DOLAP	4
2023	Data Narration for the People: Challenges and Opportunities abstract International audience Sihem Amer-Yahia, Patrick Marcel, Verónika Peralta	EDBT	3
2022	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	3
2022	Generating Personalized Data Narrations from EDA Notebooks Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart	DOLAP	5
2022	Modeling Context for Data Quality Management Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel	ER	2
2022	Mining SQL workloads for learning analysis behavior Clement Moreau, Clement Legroux, Verónika Peralta, Mohamed Ali Hamrouni	Inf. Syst.	3
2021	Learning Analysis Behavior in SQL Workloads Clement Moreau, Verónika Peralta	DOLAP	2
2020	The Tell-Tale Cube Antoine Chédin, Matteo Francia, Patrick Marcel, Verónika Peralta, Stefano Rizzi	ADBIS	4
2020	The Traveling Analyst Problem: Definition and Preliminary Study Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis	DOLAP	5
2020	Learning Analysis Patterns using a Contextual Edit Distance Clement Moreau, Verónika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele	DOLAP	2
2020	Towards a Conceptual Model for Data Narratives Faten El Outa, Matteo Francia, Patrick Marcel, Verónika Peralta, Panos Vassiliadis	ER	4
2020	Detecting coherent explorations in SQL workloads Verónika Peralta, Patrick Marcel, Willeme Verdeaux, Aboubakar Sidikhy Diakhaby	Inf. Syst.	1
2019	A Framework for Learning Cell Interestingness from Cube Explorations Patrick Marcel, Verónika Peralta, Panos Vassiliadis	ADBIS	2
2019	Qualitative Analysis of the SQLShareWorkload for Session Segmentation Verónika Peralta, Willeme Verdeaux, Yann Raimont, Patrick Marcel	DOLAP	1
2019	Automatic assessment of interactive OLAP explorations Mahfoud Djedaini, Krista Drushku, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux	Inf. Syst.	5
2019	Interest-based recommendations for business intelligence users Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta	Inf. Syst.	5
2018	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	8
2017	Detecting User Focus in OLAP Analyses Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel, Verónika Peralta	ADBIS	4
2017	User Interests Clustering in Business Intelligence Interactions Krista Drushku, Julien Aligon, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Bruno Dumant	CAiSE	5
2015	Materializing Baseline Views for Deviation Detection Exploratory OLAP Pedro Furtado 0001, Sergi Nadal, Verónika Peralta, Mahfoud Djedaini, Nicolas Labroche, Patrick Marcel	DaWaK	3
2014	A Holistic Approach to OLAP Sessions Composition: The Falseto Experience abstract OLAP is the main paradigm for flexible and effective exploration of multidimensional cubes in data warehouses. During an OLAP session the user analyzes the results of a query and determines a new query that will give her a better understanding of information. Given the huge size of the data space, this exploration process is often tedious and may leave the user disoriented and frustrated. This paper presents an OLAP tool named Falseto (Former AnalyticaL Sessions for lEss Tedious Olap), that is meant to assist query and session composition, by letting the user summarize, browse, query, and reuse former analytical sessions. Falseto's implementation on top of a formal framework is detailed. We also report the experiments we run to obtain and analyze real OLAP sessions and assess Falseto with them. Finally, we discuss how Falseto can be seen as a starting point for bridging OLAP with exploratory search, a search paradigm centered on the user and the evolution of her knowledge. Julien Aligon, Kamal Boulil, Patrick Marcel, Verónika Peralta	DOLAP	4
2011	Describing Analytical Sessions Using a Multidimensional Algebra Oscar Romero 0001, Patrick Marcel, Alberto Abelló, Verónika Peralta, Ladjel Bellatreche	DaWaK	4