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Proceedings of data analytics and managementICDAM 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of data analytics and managementedited by Ashish Khanna, Zdzislaw Polkowski, Oscar Castillo.
Reminder of title:	ICDAM 2022 /
remainder title:	ICDAM 2022
other author:	Khanna, Ashish.
corporate name:
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xxxiv, 897 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Database management
Online resource:	https://doi.org/10.1007/978-981-19-7615-5
ISBN:	9789811976155$q(electronic bk.)

Proceedings of data analytics and managementICDAM 2022 /
Proceedings of data analytics and managementICDAM 2022 /[electronic resource] :ICDAM 2022edited by Ashish Khanna, Zdzislaw Polkowski, Oscar Castillo. - Singapore :Springer Nature Singapore :2023. - xxxiv, 897 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,v. 5722367-3389 ;. - Lecture notes in networks and systems ;v.1..

Penetration Testing in Application using TestNG Tool -- Empirical Analysis of Psychological Well-Being of Students during the Pandemic with Rebooted Remote Learning Mode -- Handwritten Digit Recognition Using Machine Learning -- A Smart Movie Recommendation System Using Machine Learning Predictive Analysis.

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

ISBN: 9789811976155$q(electronic bk.)

Standard No.: 10.1007/978-981-19-7615-5doiSubjects--Topical Terms:

253546
Database management

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.7565

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