Search results for: Abdoulaye Guiss麓e

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Guiss麓e</title> <meta name="description" content="Search results for: Abdoulaye Guiss麓e"> <meta name="keywords" content="Abdoulaye Guiss麓e"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Abdoulaye Guiss麓e"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Abdoulaye Guiss麓e</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Proposition of an Ontology of Diseases and Their Signs from Medical Ontologies Integration</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Adama%20Sow">Adama Sow</a>, <a href="https://publications.waset.org/search?q=Abdoulaye%20Guiss%C2%B4e"> Abdoulaye Guiss麓e</a>, <a href="https://publications.waset.org/search?q=Oumar%20Niang"> Oumar Niang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To assist medical diagnosis, we propose a federation of several existing and open medical ontologies and terminologies. The goal is to merge the strengths of all these resources to provide clinicians the access to a variety of shared knowledges that can facilitate identification and association of human diseases and all of their available characteristic signs such as symptoms and clinical signs. This work results to an integration model loaded from target known ontologies of the bioportal platform such as DOID, MESH, and SNOMED for diseases selection, SYMP, and CSSO for all existing signs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Medical%20decision" title="Medical decision">Medical decision</a>, <a href="https://publications.waset.org/search?q=medical%20ontologies" title=" medical ontologies"> medical ontologies</a>, <a href="https://publications.waset.org/search?q=ontologies%0D%0Aintegration" title=" ontologies integration"> ontologies integration</a>, <a href="https://publications.waset.org/search?q=linked%20data" title=" linked data"> linked data</a>, <a href="https://publications.waset.org/search?q=knowledge%20ingeneering" title=" knowledge ingeneering"> knowledge ingeneering</a>, <a href="https://publications.waset.org/search?q=e-health%20system." title=" e-health system."> e-health system.</a> </p> <a href="https://publications.waset.org/10009069/proposition-of-an-ontology-of-diseases-and-their-signs-from-medical-ontologies-integration" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10009069/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10009069/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10009069/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10009069/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10009069/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10009069/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10009069/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10009069/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10009069/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10009069/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10009069.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">772</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Design of an Ensemble Learning Behavior Anomaly Detection Framework</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Abdoulaye%20Diop">Abdoulaye Diop</a>, <a href="https://publications.waset.org/search?q=Nahid%20Emad"> Nahid Emad</a>, <a href="https://publications.waset.org/search?q=Thierry%20Winter"> Thierry Winter</a>, <a href="https://publications.waset.org/search?q=Mohamed%20Hilia"> Mohamed Hilia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data assets protection is a crucial issue in the cybersecurity field. Companies use logical access control tools to vault their information assets and protect them against external threats, but they lack solutions to counter insider threats. Nowadays, insider threats are the most significant concern of security analysts. They are mainly individuals with legitimate access to companies information systems, which use their rights with malicious intents. In several fields, behavior anomaly detection is the method used by cyber specialists to counter the threats of user malicious activities effectively. In this paper, we present the step toward the construction of a user and entity behavior analysis framework by proposing a behavior anomaly detection model. This model combines machine learning classification techniques and graph-based methods, relying on linear algebra and parallel computing techniques. We show the utility of an ensemble learning approach in this context. We present some detection methods tests results on an representative access control dataset. The use of some explored classifiers gives results up to 99% of accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Cybersecurity" title="Cybersecurity">Cybersecurity</a>, <a href="https://publications.waset.org/search?q=data%20protection" title=" data protection"> data protection</a>, <a href="https://publications.waset.org/search?q=access%20control" title=" access control"> access control</a>, <a href="https://publications.waset.org/search?q=insider%0D%0Athreat" title=" insider threat"> insider threat</a>, <a href="https://publications.waset.org/search?q=user%20behavior%20analysis" title=" user behavior analysis"> user behavior analysis</a>, <a href="https://publications.waset.org/search?q=ensemble%20learning" title=" ensemble learning"> ensemble learning</a>, <a href="https://publications.waset.org/search?q=high%20performance%0D%0Acomputing." title=" high performance computing."> high performance computing.</a> </p> <a 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Search results for: Abdoulaye Guiss麓e