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Using a naive Bayes classifier to explore the factors driving the harmful dinoflagellate Karenia selliformis blooms in a southeastern Mediterranean lagoon |
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| Authors: | Feki-Sahnoun Wafa Njah Hasna Hamza Asma Barraj Nouha Mahfoudi Mabrouka Rebai Ahmed Bel Hassen Malika |
| Institution: | 1.Institut National des Sciences et Technologies de la Mer, Centre de Sfax, Rue Madagascar, BP 1035, 3018, Sfax, Tunisia ;2.Faculté des Sciences Économiques et de Gestion de Sfax, Route de l’Aéroport Km 4, 3018, Sfax, Tunisia ;3.Laboratoire de Multimedia, InfoRmation Systems and Advanced Computing Laboratory, Pôle technologique de Sfax, Route de Tunis Km 10, BP 242, 3021, Sfax, Tunisia ;4.Institut National des Sciences et Technologies de la Mer (INSTM), 28 rue 2 mars 1934, 2025, Salammbô, Tunisia ;5.Centre de Biotechnologie de Sfax, Route Sidi Mansour Km 6, BP 802, 3019, Sfax, Tunisia ; |
| Abstract: | Ocean Dynamics - The blooms of the toxic dinoflagellate Karenia selliformis can be predicted with accuracy derived from knowledge of the main forcing variables. A naive Bayes classifier modeling... |
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