
Nicolas Travers is Professor of Computer Science at ESILV Engineering School at Paris la Défense. Nicolas is Co-director of the DVRC laboratory. He was habilitated (HDR) in Computer Science from Sorbonne University in 2018. His main topics deal with database management and optimization. He is specialized in distributed databases, graph databases, Information Retrieval and recommendation systems. He particularly specialized in ad hoc databases design in a transdisciplinary approach: Digital Tourism & Geography, Knowledge Management & History, IR & Musicology or Multimodal libraries.
Julien Martin-Prin; Imen Ouled Dlala; Nicolas Travers; Said Jabbour
A Distributed SAT-based Framework for Closed Frequent Itemset Mining Proceedings Article
Dans: International Conference on Advanced Data Mining and Applications, Springer, Brisbane, Australia, 2022.
@inproceedings{martin-prin_1890,
title = {A Distributed SAT-based Framework for Closed Frequent Itemset Mining},
author = {Julien Martin-Prin and Imen Ouled Dlala and Nicolas Travers and Said Jabbour},
url = {https://adma2022.uqcloud.net/important_date.html},
year = {2022},
date = {2022-11-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
publisher = {Springer},
address = {Brisbane, Australia},
abstract = {Frequent Itemset Mining is an essential part of data mining. SAT-based approaches that extract frequent itemsets in big data encounter significant challenges when computing power and storage capacity are limited. This paper proposes an efficient distributed SAT-based framework for the Closed Frequent Itemset Mining problem (CFIM) which minimizes communications throughout the distributed architecture and reduces bottlenecks due to shared memory. Moreover, it enhances scalability and fault tolerance. This approach makes use of a Computation-Distributed Paradigm to enumerate efficiently the set of all closed itemsets, by reducing the processing time. To the best of our knowledge, this paper presents the first attempt towards a distributed SAT-based approach for CFIM. An extensive empirical evaluation on various real-word datasets shows the efficiency of the approach.},
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pubstate = {published},
tppubtype = {inproceedings}
}
Hugo Prevoteau; Sonia Djebali; Zhao Laiping; Nicolas Travers
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Proceedings Article
Dans: Bases de Données Avancées, Clermont-Ferrand, France, 2022.
@inproceedings{prevoteau_1921,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://bda2022.sciencesconf.org/resource/page/id/13},
year = {2022},
date = {2022-10-01},
booktitle = {Bases de Données Avancées},
address = {Clermont-Ferrand, France},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to un- derstand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs.
A new weighted measure is introduced for circulation charac- terization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Jihane Mali; Ahvar Shohreh; Faten Atigui; Ahmed Azough; Nicolas Travers
A Global Model-Driven Denormalization Approach for Schema Migration Proceedings Article
Dans: International Conference on Research Challenges in Information Science, p. 529-545, Springer, Barcelona, Spain, 2022.
@inproceedings{mali_1804,
title = {A Global Model-Driven Denormalization Approach for Schema Migration},
author = {Jihane Mali and Ahvar Shohreh and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {https://link.springer.com/chapter/10.1007/978-3-031-05760-1_31},
year = {2022},
date = {2022-05-01},
booktitle = {International Conference on Research Challenges in Information Science},
volume = {446},
pages = {529-545},
publisher = {Springer},
address = {Barcelona, Spain},
abstract = {Abstract. With data's evolution in terms of volume, variety, and ve- locity, Information Systems (IS) administrators have to steadily adapt their data model and choose the best solution(s) to store and manage data in accordance with users' requirements. In this context, many exist- ing solutions transform a source data model into a target one, but none of them leads the administrator to choose the most suitable model by offering a limited solution space automatically calculated and adapted to his needs. We propose ModelDrivenGuide, an automatic global approach for leading the model transformation process. It starts by transforming the conceptual model into a logical model, and it defines refinement rules that help to generate all possible data models. Our approach then relies on a heuristic to reduce the search space by avoiding cycles and redun- dancies. We also propose a formalisation of the denormalization process and we discuss the completeness and the complexity of our approach.},
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pubstate = {published},
tppubtype = {inproceedings}
}
Elena Chatzopoulou; Nicolas Travers
Authenticity Goes Digital: A Big Data Analysis of the Influence of the Country of Origin and Authenticity Perceptions on TripAdvisor Ethnic Restaurant Reviews Proceedings Article
Dans: Academy of Marketing Science Annual Conference, p. 3-15, Springer, online, 2022.
@inproceedings{chatzopoulou_2883,
title = {Authenticity Goes Digital: A Big Data Analysis of the Influence of the Country of Origin and Authenticity Perceptions on TripAdvisor Ethnic Restaurant Reviews},
author = {Elena Chatzopoulou and Nicolas Travers},
url = {https://link.springer.com/chapter/10.1007/978-3-030-89883-0_2},
year = {2022},
date = {2022-05-01},
booktitle = {Academy of Marketing Science Annual Conference},
pages = {3-15},
publisher = {Springer},
address = {online},
abstract = {Authenticity perceptions are subjectively driven and rely on social constructions making the concept hard to be defined. The current study is following a big data approach to capture perceptions and beliefs concerning the authenticity of ethnic restaurants and also when online positive reviews are given about authenticity under the influence of a visit to the country of origin. The key idea of our method relies on the analysis of a 3-step characterization of a big data repository extracted from TripAdvisor. Step 0 concerns reviews made for Italian restaurants before consumers visit Italy, step 1 concerns the reviews made while consumers were in Italy and step 2 concerns reviews made after they visited Italy. This characterization exploits both sentiment analysis and graph data models. Our findings propose a depiction of authenticity for ethnic restaurants via e-word of mouth. With a big data analysis on TripAdvisor, we provided an analysis on both ratings and comments which showed the impact of authenticity. As such, consumers, after visiting the country of origin, were more critical while they provided lower ratings and they were also focusing more on authentic atmosphere and service, showing evolution of their online reviews.},
note = {25-27/05/2022},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Hugo Prevoteau; Sonia Djebali; Zhao Laiping; Nicolas Travers
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Proceedings Article
Dans: ACM Symposium on Applied Computing, ACM, Brno, Czec Republic, 2022.
@inproceedings{prevoteau_1749,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://www.sigapp.org/sac/sac2022/index.html},
year = {2022},
date = {2022-04-01},
booktitle = {ACM Symposium on Applied Computing},
publisher = {ACM},
address = {Brno, Czec Republic},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to understand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs. Those graphs reflect traffic flows which need to be analyzed over time and space. A new weighted measure is introduced for circulation characterization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior. The approach is simulated on various graphs and evaluated experimentaly over a real dataset at various geographic zones, scales, communities, and time.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Nicolas Loas; Nicolas Travers
Indicators for Measuring Tourist Mobility Proceedings Article
Dans: International Conference on Web Information Systems Engineering, Amsterdam and Leiden, Netherlands, 2020, ISBN: 978-3-030-62004-2.
@inproceedings{djebali_1273,
title = {Indicators for Measuring Tourist Mobility},
author = {Sonia Djebali and Nicolas Loas and Nicolas Travers},
url = {http://wasp.cs.vu.nl/WISE2020/accept.html},
issn = {978-3-030-62004-2},
year = {2020},
date = {2020-10-01},
booktitle = {International Conference on Web Information Systems Engineering},
address = {Amsterdam and Leiden, Netherlands},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jihane Mali; Faten Atigui; Ahmed Azough; Nicolas Travers
How to Implement NoSQL Schemas with ModelDrivenGuide? Proceedings Article
Dans: 36ème conférence sur la Gestion de données, virtual, 2020.
@inproceedings{mali_1381,
title = {How to Implement NoSQL Schemas with ModelDrivenGuide?},
author = {Jihane Mali and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {https://bda.lip6.fr/programme/},
year = {2020},
date = {2020-10-01},
booktitle = {36ème conférence sur la Gestion de données},
address = {virtual},
abstract = {With the evolution of data in terms of volume, variety and velocity, designing and developing an Information Systems (IS) requires studying the best solutions to store and manipulate data while respecting the user's requirements. In this demonstration, we show how to implement an IS using the ModelDrivenGuide, which is a semi-automated approach based on transformation rules starting from a conceptual model, then going from one logical model to an other by re?nement to finally the chosen physical model.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jihane Mali; Faten Atigui; Ahmed Azough; Nicolas Travers
ModelDrivenGuide: An Approach for Implementing NoSQL Schemas Proceedings Article
Dans: The 31st International Conference on Database and Expert Systems Applications DEXA 2020, Bratislava, Slovakia, 2020.
@inproceedings{mali_1274,
title = {ModelDrivenGuide: An Approach for Implementing NoSQL Schemas},
author = {Jihane Mali and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {https://www.dexa.org/previous/dexa2020/dexa2020.html},
year = {2020},
date = {2020-09-01},
booktitle = {The 31st International Conference on Database and Expert Systems Applications DEXA 2020},
address = {Bratislava, Slovakia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gaël Chareyron; Ugo Quelhas; Nicolas Travers
Tourism Analysis on Graphs with Neo4Tourism Proceedings Article
Dans: International Conference on Web Information Systems Engineering, Hong Kong, China, 2020, ISBN: 978-981-15-3280-1.
@inproceedings{chareyron_1070,
title = {Tourism Analysis on Graphs with Neo4Tourism},
author = {Gaël Chareyron and Ugo Quelhas and Nicolas Travers},
url = {https://wise2019.comp.polyu.edu.hk/
https://link.springer.com/chapter/10.1007%2F978-981-15-3281-8_4},
issn = {978-981-15-3280-1},
year = {2020},
date = {2020-02-01},
booktitle = {International Conference on Web Information Systems Engineering},
address = {Hong Kong, China},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Philippe Rigaux; Nicolas Travers
Scalable Searching and Ranking for Melodic Pattern Queries Proceedings Article
Dans: 20th annual conference of the International Society for Music Information Retrieval, Delft, Netherlands, 2019.
@inproceedings{rigaux_888,
title = {Scalable Searching and Ranking for Melodic Pattern Queries},
author = {Philippe Rigaux and Nicolas Travers},
url = {https://ismir2019.ewi.tudelft.nl/},
year = {2019},
date = {2019-11-01},
booktitle = {20th annual conference of the International Society for Music Information Retrieval},
address = {Delft, Netherlands},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
David Dupuis; Cédric Du Mouza; Nicolas Travers; Gaël Chareyron
RTIM: a Real-Time Influence Maximization Strategy Proceedings Article
Dans: International Conference on Web Information Systems Engineering, p. pp 277-292, Hong-Kong, China, 2019, ISBN: ISBN : 978-3-030-34222-7.
@inproceedings{dupuis_942,
title = {RTIM: a Real-Time Influence Maximization Strategy},
author = {David Dupuis and Cédric Du Mouza and Nicolas Travers and Gaël Chareyron},
url = {https://link.springer.com/book/10.1007/978-3-030-34223-4},
issn = {ISBN : 978-3-030-34222-7},
year = {2019},
date = {2019-11-01},
booktitle = {International Conference on Web Information Systems Engineering},
volume = {11881},
pages = {pp 277-292},
address = {Hong-Kong, China},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Quentin Grossetti; Cédric Du Mouza; Nicolas Travers
Community-based Recommendations on Twitter: Avoiding The Filter Bubble Proceedings Article
Dans: Web Information Systems Engineering - WISE 2019, p. pp 212-227, Hong-Kong, China, 2019, ISBN: ISBN : 978-3-030-34222-7.
@inproceedings{grossetti_944,
title = {Community-based Recommendations on Twitter: Avoiding The Filter Bubble},
author = {Quentin Grossetti and Cédric Du Mouza and Nicolas Travers},
url = {https://link.springer.com/chapter/10.1007/978-3-030-34223-4_14},
issn = {ISBN : 978-3-030-34222-7},
year = {2019},
date = {2019-11-01},
booktitle = {Web Information Systems Engineering - WISE 2019},
volume = {11881},
pages = {pp 212-227},
address = {Hong-Kong, China},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
David Dupuis; Cédric Du Mouza; Nicolas Travers; Gaël Chareyron
Influence Maximization in a Real-Time Bidding Environment Proceedings Article
Dans: 35ème Conférence sur la Gestion de Données, Lyon, France, 2019.
@inproceedings{dupuis_941,
title = {Influence Maximization in a Real-Time Bidding Environment},
author = {David Dupuis and Cédric Du Mouza and Nicolas Travers and Gaël Chareyron},
url = {https://bda.liris.cnrs.fr/list.html},
year = {2019},
date = {2019-10-01},
booktitle = {35ème Conférence sur la Gestion de Données},
address = {Lyon, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Quentin Grossetti; Camélia Constantin; Cédric Du Mouza; Nicolas Travers
Reducing Filter Bubbles With a Community Aware Model Proceedings Article
Dans: 34ème Conférence sur la Gestion de Données, Bucarest, Romania, 2018.
@inproceedings{grossetti_563,
title = {Reducing Filter Bubbles With a Community Aware Model},
author = {Quentin Grossetti and Camélia Constantin and Cédric Du Mouza and Nicolas Travers},
url = {https://bda2018.ensea.fr/},
year = {2018},
date = {2018-10-01},
booktitle = {34ème Conférence sur la Gestion de Données},
address = {Bucarest, Romania},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Mihaela Axente; Didier Decoupigny; Jeanne Kostrz; Charles Minart; Gaël Chareyron; Sébastien Jacquot; Mélanie Mondo; Nicolas Travers
MEL, 2024.
@misc{axente_2969,
title = {Les pratiques touristiques dans la destination Lille métropole : Analyse à partir des traces numériques des visiteurs},
author = {Mihaela Axente and Didier Decoupigny and Jeanne Kostrz and Charles Minart and Gaël Chareyron and Sébastien Jacquot and Mélanie Mondo and Nicolas Travers},
url = {https://diffuweb.lillemetropole.fr/obstourisme/ETUDES/La%20destination%20Lille%20M%c3%a9tropole%20vue%20par%20les%20traces%20numeriques_Mai%202024.pdf},
year = {2024},
date = {2024-06-01},
pages = {1-24},
howpublished = {MEL},
keywords = {},
pubstate = {online},
tppubtype = {misc}
}
Oussama Ayoub; Nicolas Travers
CNAM, 2023.
@phdthesis{ayoub_2785,
title = {Enrichissement sémantique non supervisé de longs documents spécialisés pour la recherche d'information},
author = {Oussama Ayoub and Nicolas Travers},
url = {https://theses.fr/s234629},
year = {2023},
date = {2023-12-01},
school = {CNAM},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
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