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Proceedings of International Confere...

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Proceedings of International Conference on Machine Intelligence and Data Science ApplicationsMIDAS 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of International Conference on Machine Intelligence and Data Science Applicationsedited by Manish Prateek ... [et al.].
Reminder of title:	MIDAS 2020 /
remainder title:	MIDAS 2020
other author:	Prateek, Manish.
corporate name:
Published:	Singapore :Springer Singapore :2021.
Description:	xv, 813 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-981-33-4087-9
ISBN:	9789813340879$q(electronic bk.)

Proceedings of International Conference on Machine Intelligence and Data Science ApplicationsMIDAS 2020 /
Proceedings of International Conference on Machine Intelligence and Data Science ApplicationsMIDAS 2020 /[electronic resource] :MIDAS 2020edited by Manish Prateek ... [et al.]. - Singapore :Springer Singapore :2021. - xv, 813 p. :ill. (some col.), digital ;24 cm. - Algorithms for intelligent systems,2524-7565. - Algorithms for intelligent systems..

Probabilistic Machine Learning Using Social Network Analysis -- Prioritization of Disaster Recovery Aspects Implementing DEMATEL Technique -- A Study on ML Based Predictive Modelling for Pick Profiling at Distribution Centers -- Analysis of Computational Intelligence Techniques in Smart Cities -- Proposed end to end automated e-voting through blockchain technology to increase voter's turnout -- Future of Data Generated by Interactive Media.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

ISBN: 9789813340879$q(electronic bk.)

Standard No.: 10.1007/978-981-33-4087-9doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I57 2020

Dewey Class. No.: 006.31

Proceedings of International Conference on Machine Intelligence and Data Science ApplicationsMIDAS 2020 /
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505 0 $a Probabilistic Machine Learning Using Social Network Analysis -- Prioritization of Disaster Recovery Aspects Implementing DEMATEL Technique -- A Study on ML Based Predictive Modelling for Pick Profiling at Distribution Centers -- Analysis of Computational Intelligence Techniques in Smart Cities -- Proposed end to end automated e-voting through blockchain technology to increase voter's turnout -- Future of Data Generated by Interactive Media.
520 $a This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
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