Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2020, Volume 3 /

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering and Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Tavares, João Manuel R. S. (Editor), Chakrabarti, Satyajit (Editor), Bhattacharya, Abhishek (Editor), Ghatak, Sujata (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Lecture Notes in Networks and Systems, 164
Subjects:	Computational intelligence. Data structures (Computer science). Artificial intelligence. Computer networks > Security measures. Optical data processing. Information storage and retrieval. Computational Intelligence. Data Structures and Information Theory. Artificial Intelligence. Mobile and Network Security. Computer Imaging, Vision, Pattern Recognition and Graphics. Information Storage and Retrieval. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering and Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security. .
Physical Description:	1 online resource (XXX, 994 pages 383 illustrations, 265 illustrations in color.)
ISBN:	9789811597749
ISSN:	2367-3389 ;
DOI:	10.1007/978-981-15-9774-9