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Toward free spam social networks: detecting and tracking spammers in Twitter8ème édition du Forum Jeunes Chercheurs du congrès INFORSID (INFORSID 2016), May 2016, Grenoble, France. pp.33-36, ⟨10.13140/RG.2.2.26504.21763⟩
Conference papers
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A Topic-Based Hidden Markov Model for Real-Time Spam Tweets Filtering21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), Sep 2017, Marseille, France. pp.833-843, ⟨10.1016/j.procs.2017.08.075⟩
Conference papers
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Behavioural account-based features for filtering out social spammers in large-scale twitter data collectionsRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2017, 22 (3), pp.65-88. ⟨10.3166/ISI.22.3.65-88⟩
Journal articles
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DiEvent: Towards an Automated Framework for Analyzing Dining EventsIEEE 34th International Conference on Data Engineering Workshops (ICDEW 2018), Apr 2018, Paris, France. pp.163-168, ⟨10.1109/ICDEW.2018.00034⟩
Conference papers
hal-02191799v1
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Information Quality in Social Networks: A Collaborative Method for Detecting Spam Tweets in Trending TopicsInternational Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2017), Jun 2017, Arras, France. pp.211-223, ⟨10.1007/978-3-319-60045-1_24⟩
Conference papers
hal-02871344v1
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Unsupervised Collective-based Framework for Dynamic Retraining of Supervised Real-Time Spam Tweets Detection ModelExpert Systems with Applications, 2019, 135, pp.129-152. ⟨10.1016/j.eswa.2019.05.052⟩
Journal articles
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Predicting the Best System Parameter Configuration: the (Per Parameter Learning) PPL method21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), Sep 2017, Marseille, France. pp. 1308-1317
Conference papers
hal-01873773v1
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Qualité de l'information dans les réseaux sociaux : une méthode collaborative pour détecter les spams dans les tweetsDocument numérique - Revue des sciences et technologies de l'information. Série Document numérique, 2018, 21 (3), pp.33-53. ⟨10.3166/DN.21.3.33-53⟩
Journal articles
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Impact of Time on Detecting Spammers in Twitter32ème Conférence Gestion de Données : Principes, Technologies et Applications (BDA 2016), Laboratoire d’Informatique et d’Automatique pour les Systèmes (LIAS) - Université de Poitiers et ENSMA, Nov 2016, Poitiers, France
Conference papers
hal-03159076v1
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Online Social Networks Phenomenons: Buzz, Rumor, and SpamMezghani, Manel; Washha, Mahdi; Sèdes, Florence. ISTE - Elsevier, Chapître 8, pp.219-239, 2018, How Information Systems Can Help in Alarm/Alert Detection, 978-1-78548-302-8. ⟨10.1016/B978-1-78548-302-8.50008-3⟩
Books
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Leveraging Time for Spammers Detection on Twitter8th International Conference on Management of Emergent Digital EcoSystems (MEDES 2016), Nov 2016, Hendaye, France. pp.109--116, ⟨10.1145/3012071.3012078⟩
Conference papers
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Une méthode collaborative pour identifier les spams: contribution à la qualité de l'information dans les réseaux sociaux14ème COnférence en Recherche d'Informations et Applications (CORIA 2017), Mar 2017, Marseille, France. pp.139-152, ⟨10.24348/coria.2017⟩
Conference papers
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Information Quality in Social Networks: Predicting Spammy Naming Patterns for Retrieving Twitter Spam Accounts19th International Conference on Enterprise Information Systems (ICEIS 2017), Apr 2017, Porto, Portugal. pp.610-622, ⟨10.5220/0006314006100622⟩
Conference papers
hal-01809318v1
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Information Quality in Online Social Networks: A Fast Unsupervised Social Spam Detection Method for Trending Topics19th International Conference on Enterprise Information Systems (ICEIS 2017), Apr 2017, Porto, Portugal. pp.633--675, ⟨10.5220/0006372006630675⟩
Conference papers
hal-03116278v1
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La qualité de l'information dans les réseaux sociaux en ligne: une approche non supervisée et rapide de détection de spam35ème congrès INFormatique des Organisations et Systemes d'Information et de Decision (INFORSID 2017), May 2017, Toulouse, France. pp.247-262
Conference papers
hal-02871343v1
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