Machine Learning Techniques and Analytics for Cloud Security. Группа авторов
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Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106
Advances in Learning Analytics for Intelligent Cloud-IoT Systems
Series Editor: Dr. Souvik Pal and Dr. Dac-Nhuong Le
The role of adaptation, learning analytics, computational Intelligence, and data analytics in the field of cloud-IoT systems is becoming increasingly essential and intertwined. The capability of an intelligent system depends on various self-decision-making algorithms in IoT devices. IoT-based smart systems generate a large amount of data (big data) that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of analytics reasoning and sense-making in big data, which is centered in the cloud and IoT-enabled environments. The series publishes volumes that are empirical studies, theoretical and numerical analysis, and novel research findings.
Submission to the series:
Please send proposals to Dr. Souvik Pal, Department of Computer Science and Engineering, Global Institute of Management and Technology, Krishna Nagar, West Bengal, India.
E-mail: [email protected]
Publishers at Scrivener
Martin Scrivener ([email protected])
Phillip Carmical ([email protected])
Machine Learning Techniques and Analytics for Cloud Security
Edited by
Rajdeep Chakraborty
Anupam Ghosh
and
Jyotsna Kumar Mandal
This edition first published 2022 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA
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