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Big data, machine learning, and applicationsproceedings of the 2nd International Conference, BigDML 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data, machine learning, and applicationsedited by Malaya Dutta Borah ... [et al.].
Reminder of title:	proceedings of the 2nd International Conference, BigDML 2021 /
remainder title:	BigDML 2021
other author:	Borah, Malaya Dutta.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xii, 778 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-981-99-3481-2
ISBN:	9789819934812$q(electronic bk.)

Big data, machine learning, and applicationsproceedings of the 2nd International Conference, BigDML 2021 /
Big data, machine learning, and applicationsproceedings of the 2nd International Conference, BigDML 2021 /[electronic resource] :BigDML 2021edited by Malaya Dutta Borah ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xii, 778 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 10531876-1119 ;. - Lecture notes in electrical engineering ;v.132..

This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.

ISBN: 9789819934812$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3481-2doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data, machine learning, and applicationsproceedings of the 2nd International Conference, BigDML 2021 /
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