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

Contributor(s): Shukla, Samiksha, editor literario | Unal, Aynur., editor literario | Kureethara, Joseph Varghese, editor literario | Mishra, Durgesh Kumar, editor literario | Han, Dong Seog, editor literario
Series: (Lecture Notes in Networks and Systems, 2367-3389; 290); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Singapore : Springer International Pulishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIV, 489 páginas) : 237 ilustraciones, 149 ilustraciones a color.ISBN: 9789811644863.Subject: Inteligencia artificialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q342 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.23122115
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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.

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.

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