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Proceedings of data analytics and managementICDAM 2023.Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of data analytics and managementedited by Abhishek Swaroop ... [et al.].
Reminder of title:	ICDAM 2023.
remainder title:	ICDAM 2023
other author:	Swaroop, Abhishek.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xxvii, 665 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Database management
Online resource:	https://doi.org/10.1007/978-981-99-6547-2
ISBN:	9789819965472$q(electronic bk.)

Proceedings of data analytics and managementICDAM 2023.Volume 2 /
Proceedings of data analytics and managementICDAM 2023.Volume 2 /[electronic resource] :ICDAM 2023edited by Abhishek Swaroop ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xxvii, 665 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 7862367-3389 ;. - Lecture notes in networks and systems ;v.1..

Chapter 1: Sentiment Classification on Suicide Notes Using Bi-LSTM Model -- Chapter 2: Machine Learning based Blind Image Quality Assessment: A Review -- Chapter 3: Analysis Of Block Chain Technology Iot And Rpa In Supply Chain Management -- Chapter 4: Sentiment hotspots extraction in large text documents using neutrosophic sets -- Chapter 5: Peak Hour Demand Prediction for Sharing Bikes: A Comparative Analysis of Performances of Machine Learning Models -- Chapter 6: Prediction Based Analysis of Die-sel Prices using Naïve Bayes Classifier Model -- Chapter 7: Abnormality detection in smart-phone captured chest radiograph using multi-pretrained models -- Chapter 8: Offensive Tweets Detection In Hinglish Using HingBERT -- Chapter 9: Unlocking the Potential of Mobile Computing for Infusing Computational Thinking Using Social Cognitive Approach in Higher Education Institutes -- Chapter 10: Deep Learning Applications in Thermal IR Image Processing. etc.

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. 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. The book is divided into four volumes.

ISBN: 9789819965472$q(electronic bk.)

Standard No.: 10.1007/978-981-99-6547-2doiSubjects--Topical Terms:

253546
Database management

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.7565

Proceedings of data analytics and managementICDAM 2023.Volume 2 /
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