Intelligent systems : proceedings of ICMIB 2020 /

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Bibliographic Details
Meeting name:	International Conference on Machine Learning, Internet of Things and Big Data (2020 : Odisha, India)
Imprint:	Singapore : Springer, [2021]
Description:	1 online resource (xxxi, 575 pages) : illustrations (some color).
Language:	English
Series:	Lecture notes in networks and systems, 2367-3370 ; volume 185 Lecture notes in networks and systems ; v. 185.
Subject:	Machine learning -- Congresses. Internet of things -- Congresses. Big data -- Congresses. Big data. Internet of things. Machine learning. Electronic books. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12612525

Hidden Bibliographic Details
Varying Form of Title:	ICMIB 2020
Other authors / contributors:	Udgata, Siba K. editor. Sethi, Srinivas, editor. Srirama, Satish Narayana, 1978- editor.
ISBN:	9789813360815 981336081X 9789813360808 9813360801
Notes:	International conference proceedings. Includes author index. Online resource; title from PDF title page (SpringerLink, viewed April 29, 2021).
Summary:	This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2020) held at Indira Gandhi Institute of Technology, Sarang, India, during September 2020. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human-computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.
Other form:	Original 9813360801 9789813360808
Standard no.:	10.1007/978-981-33-6081-5

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