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Proceedings of data analytics and management = ICDAM 2023.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of data analytics and management/ edited by Abhishek Swaroop ... [et al.].
Reminder of title:	ICDAM 2023.
remainder title:	ICDAM 2023
other author:	Swaroop, Abhishek.
corporate name:	International Conference on Data Analytics and Management
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xxvii, 665 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Database management - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-99-6547-2
ISBN:	9789819965472

Proceedings of data analytics and management = ICDAM 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. 786..

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

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

551624
Database management
--Congresses.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.7565

Proceedings of data analytics and management = ICDAM 2023.. Volume 2 /
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490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 786
505 0 $a 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.
520 $a 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.
650 0 $a Database management $v Congresses. $3 551624
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Data Analysis and Big Data. $3 3538537
650 2 4 $a Data and Information Security. $3 3538510
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