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Record Nr. |
UNINA9910484916103321 |
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Titolo |
Data Science and Security : Proceedings of IDSCS 2020 / / edited by Dharm Singh Jat, Samiksha Shukla, Aynur Unal, Durgesh Kumar Mishra |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (319 pages) : illustrations |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3370 ; ; 132 |
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Disciplina |
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Soggetti |
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Engineering—Data processing |
Computer security |
Big data |
Data structures (Computer science) |
Computational intelligence |
Data Engineering |
Systems and Data Security |
Big Data |
Data Structures |
Computational Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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An Approach to Predict Potential Edges in Online Social Networks -- A Novel Approach to Human-Computer Interaction using Hand Gesture Recognition -- Insider Threat Detection based on Anomalous Behavior of User for Cyber Security -- A Comparative Study of Text Mining Algorithms for Anomaly Detection in Online Social Networks -- Diabetic Retinopathy Detection using Convolutional Neural Network- a Study -- Implementation of Pisano period in Integer Factorization Algorithm. |
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Sommario/riassunto |
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This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, |
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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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