Description

Book Synopsis

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.




Table of 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.

Data Science and Security: Proceedings of IDSCS

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A Paperback / softback by Samiksha Shukla, Aynur Unal, Joseph Varghese Kureethara

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    View other formats and editions of Data Science and Security: Proceedings of IDSCS by Samiksha Shukla

    Publisher: Springer Verlag, Singapore
    Publication Date: 27/08/2021
    ISBN13: 9789811644856, 978-9811644856
    ISBN10: 9811644853
    Also in:
    Artificial intelligence (AI) Computer security Databases / Data management

    Description

    Book Synopsis

    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.




    Table of 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.

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