Editors:
- Presents the latest research on and cutting-edge technologies for machine learning, information security and the Internet of Things
- Includes contributions by leading experts in the field
- Offers a valuable reference guide for researchers and practitioners alike
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 605)
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Table of contents (100 papers)
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Front Matter
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Internet of Everything and Network Technologies
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Front Matter
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Artificial Intelligence and Machine Learning
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Front Matter
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About this book
This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019.
This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.Editors and Affiliations
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Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India
Pradeep Kumar Singh
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Department of Electrical Engineering, IIT Delhi, Delhi, India
Bijaya Ketan Panigrahi
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School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India
Nagender Kumar Suryadevara
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Institute of Information Technology and Management, Delhi, India
Sudhir Kumar Sharma
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USICT, GGSIPU, Delhi, India
Amit Prakash Singh
Bibliographic Information
Book Title: Proceedings of ICETIT 2019
Book Subtitle: Emerging Trends in Information Technology
Editors: Pradeep Kumar Singh, Bijaya Ketan Panigrahi, Nagender Kumar Suryadevara, Sudhir Kumar Sharma, Amit Prakash Singh
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-3-030-30577-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-30576-5Published: 25 September 2019
Softcover ISBN: 978-3-030-30579-6Published: 27 September 2020
eBook ISBN: 978-3-030-30577-2Published: 23 September 2019
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XXVII, 1144
Number of Illustrations: 300 b/w illustrations, 377 illustrations in colour
Topics: Data Engineering, Cyber-physical systems, IoT, Machine Learning