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Machine learning for predictive anal...

International Conference on Information and Communication Technology for Intelligent Systems (2020 :)

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Machine learning for predictive analysis = proceedings of ICTIS 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for predictive analysis/ edited by Amit Joshi, Mahdi Khosravy, Neeraj Gupta.
Reminder of title:	proceedings of ICTIS 2020 /
remainder title:	ICTIS 2020
other author:	Joshi, Amit.
corporate name:	International Conference on Information and Communication Technology for Intelligent Systems
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xxix, 627 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-15-7106-0
ISBN:	9789811571060

Machine learning for predictive analysis = proceedings of ICTIS 2020 /
Machine learning for predictive analysisproceedings of ICTIS 2020 /[electronic resource] :ICTIS 2020edited by Amit Joshi, Mahdi Khosravy, Neeraj Gupta. - Singapore :Springer Singapore :2021. - xxix, 627 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.1412367-3370 ;. - Lecture notes in networks and systems ;v.141..

This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems.

ISBN: 9789811571060

Standard No.: 10.1007/978-981-15-7106-0doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I58 2020

Dewey Class. No.: 006.31

Machine learning for predictive analysis = proceedings of ICTIS 2020 /
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