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Secure Data Science: Integrating Cyber Security and Data Science

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and;

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Data Science and Security

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020;

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Data Science

science; multimedia data management and analysis; social media and recommendation systems; data security and privacy; applications of data;

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Advances in Data Science, Cyber Security and IT Applications

submissions. The papers are organized in topical sections on Cyber Security; Data Science; Information Technology and Applications; Network and IoT.;

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Advances in Data Science, Cyber Security and IT Applications

submissions. The papers are organized in topical sections on Cyber Security; Data Science; Information Technology and Applications; Network and IoT.;

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Data Science and Analytics

submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Machine Learning Image Processing Network Security and Data Sciences

Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to;

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Machine Learning Image Processing Network Security and Data Sciences

Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to;

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Data Science and Analytics

generation computing; social and web analytics; security in data science analytics; big data analytics.;

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Data Science and Analytics

generation computing; social and web analytics; security in data science analytics; big data analytics.;

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Security with Intelligent Computing and Big data Services

In the dawning era of Intelligent Computing and Big-data Services, security issues will be an important consideration in promoting these;

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Availability, Reliability, and Security in Information Systems

, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016;

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Business Information Systems

theme was Data Science and Security in Business Information Systems . The 30 contributions presented in this volume were carefully;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Big Data Analytics and Computing for Digital Forensic Investigations

Digital forensics has recently gained a notable development and become the most demanding area in today's information security requirement;

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Knowledge Discovery from Sensor Data

explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.;

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Innovations in Computer Science and Engineering

research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy;

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Big Data, IoT, and Machine Learning

learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and;

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Computer Science Unleashed

A walkthough of networking, data science and computer security. Designed for readers who don't care for academic formalities, it's a;

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Industry 4.0, AI, and Data Science

The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine;

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Modeling Decisions for Artificial Intelligence

sections: aggregation operators and decision making; data science and data mining; and data privacy and security.;

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Smart Data

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent;

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Advances in Computing Systems and Applications

findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security;

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Data Science

for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software;

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Data Science

for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software;

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