Data Science and Security : Proceedings of IDSCS 2021 / / edited by Samiksha Shukla, Aynur Unal, Joseph Varghese Kureethara, Durgesh Kumar Mishra, Dong Seog Han

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (xiv, 489 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence - Data processing; Data protection; Computer networks - Security measures; Computational Intelligence; Data Science; Data and Information Security; Mobile and Network Security
• Persona (resp. second.): ShuklaSamiksha
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Towards a Knowledge Centric Semantic Approach for Text Summarization -- Detection of Abnormal Red Blood Cells using Features Dependent on Morphology and Rotation -- A Systematic Review of Challenges and Techniques of Privacy-Preserving Machine Learning.
• Sommario/riassunto: This book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021. The proceeding is targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.
• Titolo autorizzato: Data Science and Security
• ISBN: 981-16-4486-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910495223403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 290