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Titlebook: Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making; 5th International Co Inès Saad,Camill

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書(shū)目名稱(chēng)Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making
副標(biāo)題5th International Co
編輯Inès Saad,Camille Rosenthal-Sabroux,Pierre-Emmanue
視頻videohttp://file.papertrans.cn/466/465933/465933.mp4
叢書(shū)名稱(chēng)Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making; 5th International Co Inès Saad,Camill
描述This book constitutes the thoroughly refereed proceedings of the 5.th. International Conference on Information and Knowledge Systems, ICIKS 2021, which was held online during June 22-23, 2021..The International Conference on Information and Knowledge Systems (ICIKS 2021) gathered both researchers and practitioners in the fields of Information Systems, Artificial Intelligence, Knowledge Management and Decision Support. ICIKS seeks to promote discussions on various organizational, technological, and socio-cultural aspects of research in the design and use of information and knowledge systems in organizations...The 10 full and 2 short papers presented in this volume were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: knowledge systems and decision making; machine learning, recommender systems, and knowledge systems; and security, artificial intelligence, and information systems..
出版日期Conference proceedings 2021
關(guān)鍵詞decision support systems; information systems; knowledge management; machine learning; recommender syste
版次1
doihttps://doi.org/10.1007/978-3-030-85977-0
isbn_softcover978-3-030-85976-3
isbn_ebook978-3-030-85977-0Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Artificial Intelligence & Cybersecurity: A Preliminary Study of Automated Pentesting with Offensive to form proper communication channel and support for risk assessment reporting. It is based on the use of artificial intelligence to make the penetration test autonomous. This research considers the conduct of penetration tests both through their technical issues and through the managerial issues specific to a decentralized information system.
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A Dynamic Convolutional Neural Network Approach for Legal Text Classificationn this work, we propose a Neural Network based model with a dynamic input length for French legal text classification. The proposed approach, tested over real legal cases, outperforms baseline methods.
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