Data science and security : proceedings of IDSCS 2020 / Dharm Singh Jat, Samiksha Shukla, Aynur Unal, Durgesh Kumar Mishra, editors.
2021
QA76.9.D343
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Details
Title
Data science and security : proceedings of IDSCS 2020 / Dharm Singh Jat, Samiksha Shukla, Aynur Unal, Durgesh Kumar Mishra, editors.
Meeting Name
International Conference on Data Science for Computational Security (2020 : Pune, India)
ISBN
9789811553097 (electronic bk.)
9811553092 (electronic bk.)
9789811553103 (print)
9811553106
9789811553110 (print)
9811553114
9811553084
9789811553080
9811553092 (electronic bk.)
9789811553103 (print)
9811553106
9789811553110 (print)
9811553114
9811553084
9789811553080
Publication Details
Singapore : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-981-15-5309-7 doi
10.1007/978-981-15-5
10.1007/978-981-15-5
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
Summary
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, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Series
Lecture notes in networks and systems ; v. 132.
Available in Other Form
Data science and security.
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Online Access
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Table of Contents
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.
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.