Výsledky vyhledávání - "Salma Ben Dhaou"

A Belief Approach for Detecting Spammed Links in Social Networks

Autor: Boutheina Ben Yaghlane, Salma Ben Dhaou, Arnaud Martin, Mouloud Kharoune

Publikováno v: International Conference on Agents and Artificial Intelligence
International Conference on Agents and Artificial Intelligence, Feb 2019, Prague, Czech Republic
ICAART (2)

International audience; Nowadays, we are interconnected with people whether professionally or personally using different social networks. However, we sometimes receive messages or advertisements that are not correlated to the nature of the relation e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c69e975c463df30d58e48661135bb64a
https://hal.science/hal-02064966/document

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An Evidential Method for Correcting Noisy Information in Social Network

Autor: Salma Ben Dhaou, Mouloud Kharoune, Boutheina Ben Yaghlane, Arnaud Martin

Publikováno v: Online Social Networks and Media
Online Social Networks and Media, 2018, Volume 7, pp.30-44
Online Social Networks and Media, Elsevier, 2018, Volume 7, pp.30-44

International audience; Nowadays, social networks have become an important part of our daily lives. Hence, several researchers have been interested in the study and analysis of the interactions between the entities composing this type of networks. By

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66b52e4e5ac8e81d8f18dc2c700c3546
https://hal.science/hal-01868866/document

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The Advantage of Evidential Attributes in Social Networks

Autor: Salma Ben Dhaou, Boutheina Ben Yaghlane, Arnaud Martin, Mouloud Kharoune, Kuang Zhou

Publikováno v: 20th International Conference on Information Fusion
20th International Conference on Information Fusion, Jul 2017, Xi'an, China
FUSION

Nowadays, there are many approaches designed for the task of detecting communities in social networks. Among them, some methods only consider the topological graph structure, while others take use of both the graph structure and the node attributes.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83fcea9f16282ca68e52304cded4c738

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Belief Approach for Social Networks

Autor: Mouloud Kharoune, Salma Ben Dhaou, Boutheina Ben Yaghlane, Arnaud Martin

Publikováno v: Lecture Notes in Artificial Intelligence
Belief 2014
Belief 2014, Sep 2014, Oxford, United Kingdom. pp.115-123, ⟨10.1007/978-3-319-11191-9_13⟩
Belief Functions: Theory and Applications ISBN: 9783319111902

International audience; Nowadays, social networks became essential in information exchange between individuals. Indeed, as users of these networks, we can send messages to other people according to the links connecting us. Moreover, given the large v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6afb089eeac839986c9fdd1a1d4265e5
https://hal.archives-ouvertes.fr/hal-01105259

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