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):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 290Publisher: Singapore : Springer Singapore, 2021Publisher: Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021Description: 1 Online-Ressource(XIV, 489 p. 237 illus., 149 illus. in color.)ISBN:

9789811644863

Subject(s):

Additional physical formats: 9789811644856 | 9789811644870 | Erscheint auch als: 9789811644856 Druck-Ausgabe | Erscheint auch als: 9789811644870 Druck-AusgabeDOI: DOI: 10.1007/978-981-16-4486-3Online resources:

Summary: 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.Summary: 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.PPN: PPN: 176971751XPackage identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

Holdings ( 0 )

No physical items for this record