Yuehgoh Foutse; Sonia Djebali; Nicolas Travers
A Technology Intelligence Recommendation System based on Multiplex Networks Conférence
Groupe de Recherche - Masses de Données, Informations et Connaissances en Sciences (MADICS), CNRS Lyon, France, 2022.
@conference{foutse_1833,
title = {A Technology Intelligence Recommendation System based on Multiplex Networks},
author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},
year = {2022},
date = {2022-07-01},
booktitle = {Groupe de Recherche - Masses de Données, Informations et Connaissances en Sciences (MADICS)},
pages = {2},
address = {Lyon, France},
organization = {CNRS},
abstract = {Mon travail de recherche se focalise sur les systèmes de recommandation pour la veille technologique chez COEXEL, une société fondée par Vincent Boisard, acteur majeur de ce domaine grâce à son outil de gestion électronique de l'information basée sur le web, appelée Mytwip®. Ces données ciblées correspondent à des évolutions technologiques visibles sur le Web pour lesquelles un expert du domaine souhaite rester informé de la concurrence ou des usages.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Sonia Djebali; Nicolas Travers; Gaël Chareyron
Indicateurs de Mesure pour la Mobilité Touristique Conférence
Atelier Traces numériques et mobilité @ INFormatique des ORganisations et Systèmes d'Information et de Décision, Dijon, France, 2022.
@conference{djebali_1832,
title = {Indicateurs de Mesure pour la Mobilité Touristique},
author = {Sonia Djebali and Nicolas Travers and Gaël Chareyron},
year = {2022},
date = {2022-05-01},
booktitle = {Atelier Traces numériques et mobilité @ INFormatique des ORganisations et Systèmes d'Information et de Décision},
pages = {4},
address = {Dijon, France},
abstract = {Les traces numériques laissées par les utilisateurs sur les réseaux sociaux sont deve- nues un moyen populaire d'analyse du comportement des touristes dont l'analyse a un impact dans le marketing touristique pour construire des outils d'aide à la décision dans le tourisme. Nous proposons des mesures pour capturer la mobilité et la propagation touristique sur diffé- rentes zones qui s'appuie sur le réseau TripAdvisor et la base de données graphes Neo4j.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Lillia Ben Baccar; Sonia Djebali; Guillaume Guérard
Prédiction de Circuit Touristique par Data Mining Séquentielle Conférence
Premier Symposium GDR MaDICS, Rennes, France, 2019.
@conference{ben_baccar_889,
title = {Prédiction de Circuit Touristique par Data Mining Séquentielle},
author = {Lillia Ben Baccar and Sonia Djebali and Guillaume Guérard},
url = {http://www.madics.fr/event/titre1551974198-3309/#posters},
year = {2019},
date = {2019-06-01},
booktitle = {Premier Symposium GDR MaDICS},
address = {Rennes, France},
keywords = {},
pubstate = {published},
tppubtype = {conference}
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Hugo Prevoteau; Sonia Djebali; Zhao Laiping; Nicolas Travers
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Inproceedings
Dans: ACM Symposium on Applied Computing, ACM, Brno, Czec Republic, 2021.
@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 = {2021},
date = {2021-12-01},
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 = {accepted},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Tourists Profiling by Interest Analysis Inproceedings
Dans: International Conference on Advanced Data Mining and Applications, Virtual, 2021.
@inproceedings{guerard_1662,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali},
url = {Not yet},
year = {2021},
date = {2021-09-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
address = {Virtual},
abstract = {With the recent digital revolution, analyzing of tourists' behaviors
and research elds associated with it have changed profoundly.
It is now easier to examine behaviors of tourists using digital traces they
leave during their travels. The studies conducted on diverse aspects of
tourism focus on quantitative aspects of digital traces to reach its conclusions.
In this paper, we suggest a study focused on both qualitative and
quantitative aspect of digital traces to understand the dynamics governing
tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Hidden Markov Model to Predict Tourists Visited Places Inproceedings
Dans: Nick Koudas Vana Kalogeraki, Jianliang Xu (Ed.): 22nd IEEE International Conference on Mobile Data Management, p. 209-216, IEEE, virtual, 2021, ISBN: 978-1-6654-2845-3.
@inproceedings{guerard_1601,
title = {Hidden Markov Model to Predict Tourists Visited Places},
author = {Guillaume Guérard and Sonia Djebali},
editor = {Vana Kalogeraki, Nick Koudas, Jianliang Xu},
url = {https://ieeexplore.ieee.org/abstract/document/9474900},
issn = {978-1-6654-2845-3},
year = {2021},
date = {2021-06-01},
booktitle = {22nd IEEE International Conference on Mobile Data Management},
pages = {209-216},
publisher = {IEEE},
address = {virtual},
abstract = {Nowadays, social networks is become a popular means of analyzing tourist behavior, thanks to the digital traces left by travelers during their stays on these networks.
The massive amount of data generated by the propensity of tourists to share comments and photos during their trip makes it possible to model their journeys and analyze their behavior.
Predicting the next movement of tourist plays a key role in tourism marketing to understand demand and improve decision support.
In this paper, we propose a method to understand and to learn tourists' movements based on social network data analysis to predict the future movements. The method relies on a machine learning grammatical inference algorithm.
A major contribution in this paper is to adapt the grammatical inference algorithm to the context of big data.
Our method produces a hidden Markov model representing the movements of a group of tourists. The hidden Markov model is flexible and editable with new data.
The capital city of France, Paris is selected to demonstrate the efficiency of the proposed methodology.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Guillaume Guérard
BIDDING STRATEGY OF A SEASONAL STORAGE HYDROPOWER PLANT IN RESERVE MARKETS Inproceedings
Dans: International Association for Energy Economics, virtual, 2021.
@inproceedings{djebali_1602,
title = {BIDDING STRATEGY OF A SEASONAL STORAGE HYDROPOWER PLANT IN RESERVE MARKETS},
author = {Sonia Djebali and Guillaume Guérard},
url = {http://devel.iaee.org/proceedings/article/17208},
year = {2021},
date = {2021-06-01},
booktitle = {International Association for Energy Economics},
address = {virtual},
abstract = {The increasing share of intermittent sources of energy will increase the need for frequency-control reserves. However, the current supply of reserves might decrease in the following years. The share of gas- and coal-fuel plants in the power mix is expected to decline in order to reduce greenhouse gas emissions. Hydropower technologies are often put forward as mature and low-carbon technologies able to contribute to cover this increasing need for reserves. Their flexibility and storage capability allow them to support the stable operation of the grid. The procurement of reserves being mostly market-based in Europe, the market design should send the correct price signals to encourage the participation in these markets.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Tourism Management through the Big Data Paradigm Inproceedings
Dans: David Chavalarias, Hocine Cherifi (Ed.): French Regional Conference on Complex Systems FRCCS, Springer - Applied Network Science Journal, virtual, 2021.
@inproceedings{guerard_1600,
title = {Tourism Management through the Big Data Paradigm},
author = {Guillaume Guérard and Sonia Djebali},
editor = {David Chavalarias, Hocine Cherifi},
url = {https://easychair.org/smart-program/FRCCS2021},
year = {2021},
date = {2021-05-01},
booktitle = {French Regional Conference on Complex Systems FRCCS},
publisher = {Springer - Applied Network Science Journal},
address = {virtual},
abstract = {This paper highlights the two-ways relationship between data and entities producing or generating these data in the context of tourism management. Indeed, tourists leave various traces of their planning and trip on social media and networks. Moreover, studying those data to feed tourism marketing also affects the future data left by tourists. Understanding the intrinsic and extrinsic relationship between entities should significantly improve the knowledge in this research field.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Nicolas Loas; Nicolas Travers
Indicators for Measuring Tourist Mobility Inproceedings
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}
}
Sonia Djebali; Guillaume Guérard
Prédiction des comportements touristiques par minage des motifs et des règles séquentielles Inproceedings
Dans: 21ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Montpellier, France, 2020.
@inproceedings{djebali_1226,
title = {Prédiction des comportements touristiques par minage des motifs et des règles séquentielles},
author = {Sonia Djebali and Guillaume Guérard},
url = {https://roadef2020.sciencesconf.org/},
year = {2020},
date = {2020-02-01},
booktitle = {21ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision},
address = {Montpellier, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Lillia Ben Baccar; Sonia Djebali; Guillaume Guérard
Tourist's Tour Prediction by Sequential Data Mining Approach Inproceedings
Dans: Advanced Data Mining and Applications, 15th International Conference, ADMA 2019, p. pp. 681-695, Dalian, China, 2019, ISBN: ISBN 978-3-030-35230-1.
@inproceedings{ben_baccar_989,
title = {Tourist's Tour Prediction by Sequential Data Mining Approach},
author = {Lillia Ben Baccar and Sonia Djebali and Guillaume Guérard},
url = {https://link.springer.com/chapter/10.1007/978-3-030-35231-8_50},
issn = {ISBN 978-3-030-35230-1},
year = {2019},
date = {2019-11-01},
booktitle = {Advanced Data Mining and Applications, 15th International Conference, ADMA 2019},
pages = {pp. 681-695},
address = {Dalian, China},
abstract = {This paper answers the problem of predicting future behaviour tourist based on past behaviour of an individual tourist. The individual behaviour is naturally an indicator of the behaviour of other tourists. The prediction of tourists movement has a crucial role in tourism marketing to create demand and assist tourists in decision-making. With advances in information and communication technology, social media platforms generate data from millions of people from different countries during their travel. The main objective of this paper is to consider sequential data-mining methods to predict tourist movement based on Instagram data. Rules emerge from those ones are exploited to predict future behaviors. The originality of this approach is a combination between pattern mining to reduce the size of data and the automata to condense the rules. The capital city of France, Paris is selected to demonstrate the utility of the proposed methodology.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Thomas Raimbault; Abdellah Sabry; Sonia Djebali
Universal-endpoint.com : une plateforme d'accès simple au Web des Données Inproceedings
Dans: EGC 2018, p. 475-478, Paris, France, 2018, ISBN: ISBN : 979-10-96289-07-3.
@inproceedings{raimbault_503,
title = {Universal-endpoint.com : une plateforme d'accès simple au Web des Données},
author = {Thomas Raimbault and Abdellah Sabry and Sonia Djebali},
url = {https://editions-rnti.fr/?procid=100174},
issn = {ISBN : 979-10-96289-07-3},
year = {2018},
date = {2018-01-01},
booktitle = {EGC 2018},
volume = {RNTI-E-34},
pages = {475-478},
address = {Paris, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stéphane Loiseau; Sonia Djebali; Thomas Raimbault; Bérangère Branchet; Gaël Chareyron
Characterization of daily tourism behaviors based on place sequence analysis from photo sharing websites Inproceedings
Dans: 2017 IEEE International Conference on Big Data, p. 2760 - 2765, Boston, USA, 2017, ISBN: ISBN: 978-1-5386-2714-3.
@inproceedings{loiseau_276,
title = {Characterization of daily tourism behaviors based on place sequence analysis from photo sharing websites},
author = {Stéphane Loiseau and Sonia Djebali and Thomas Raimbault and Bérangère Branchet and Gaël Chareyron},
url = {https://ieeexplore.ieee.org/document/8258241},
issn = {ISBN: 978-1-5386-2714-3},
year = {2017},
date = {2017-12-01},
booktitle = {2017 IEEE International Conference on Big Data},
pages = {2760 - 2765},
address = {Boston, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Thomas Raimbault; Sonia Djebali
Interroger intuitivement le Web des Données avec SimplePARQL Inproceedings
Dans: Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, Caen, France, 2017.
@inproceedings{raimbault_286,
title = {Interroger intuitivement le Web des Données avec SimplePARQL},
author = {Thomas Raimbault and Sonia Djebali},
url = {https://pfia2017.greyc.fr/apia/programme},
year = {2017},
date = {2017-07-01},
booktitle = {Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle},
address = {Caen, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Thomas Raimbault
Regrouper des résultats SPARQL par comparaison de leurs contenus tels qu'ils sont agencés dans la base RDF interrogée Inproceedings
Dans: CORIA, Marseille, France, 2017.
@inproceedings{djebali_280,
title = {Regrouper des résultats SPARQL par comparaison de leurs contenus tels qu'ils sont agencés dans la base RDF interrogée},
author = {Sonia Djebali and Thomas Raimbault},
url = {http://www.asso-aria.org/coria/2017/papers/coria.2017.9/},
year = {2017},
date = {2017-03-01},
booktitle = {CORIA},
address = {Marseille, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Rendre 'intelligent' le Smart Grid Inproceedings
Dans: 18ème conférence annuelle de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Metz, France, 2017.
@inproceedings{guerard_272,
title = {Rendre 'intelligent' le Smart Grid},
author = {Guillaume Guérard and Sonia Djebali},
url = {http://roadef2017.event.univ-lorraine.fr/index.html},
year = {2017},
date = {2017-02-01},
booktitle = {18ème conférence annuelle de la Société Française de Recherche Opérationnelle et d'Aide à la Décision},
address = {Metz, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Thomas Raimbault
SimplePARQL: a new approach using keywords over SPARQL to query the web of data Inproceedings
Dans: Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems - SEMANTiCS2015, p. p43, Vienna, Austria, 2015.
@inproceedings{djebali_388,
title = {SimplePARQL: a new approach using keywords over SPARQL to query the web of data},
author = {Sonia Djebali and Thomas Raimbault},
url = {http://ceur-ws.org/Vol-1481/},
year = {2015},
date = {2015-09-01},
booktitle = {Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems - SEMANTiCS2015},
volume = {1481},
pages = {p43},
address = {Vienna, Austria},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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