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Machine learning and big data analyt...

International Conference on Machine Learning and Big Data Analytics ((2021 :)

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Machine learning and big data analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and big data analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)/ edited by Rajiv Misra ... [et al.].
remainder title:	ICMLBDA 2021
other author:	Misra, Rajiv.
corporate name:	International Conference on Machine Learning and Big Data Analytics
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xi, 362 p. :ill., digital ;24 cm.
[NT 15003449]:	Engagement Analysis of Students in Online Learning Environments -- Application of Artificial Intelligence to predict the Degradation of Potential mRNA Vaccines Developed To Treat SARS-CoV-2 -- An Application of Transfer Learning: Fine-Tuning BERT for Spam Email Classification -- MMAP : A Multi-Modal Automated Online Proctor -- Applying Extreme Gradient Boosting for Surface EMG based Sign Language recognition -- Review of Security Aspects of 51 Percent Attack on Blockchain -- Integrated Micro-video Recommender based on Hadoop and Web-Scrapper -- Automated Sleep Staging System based on Ensemble Learning Model using Single-Channel EEG signal -- Segregation and User Interactive Visualization of Covid- 19 Tweets using Text Mining Techniques -- Software Fault Prediction using Data Mining Techniques on Software Metrics.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-82469-3
ISBN:	9783030824693

Machine learning and big data analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
Machine learning and big data analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)[electronic resource] /ICMLBDA 2021edited by Rajiv Misra ... [et al.]. - Cham :Springer International Publishing :2022. - xi, 362 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 2562367-3389 ;. - Lecture notes in networks and systems ;v. 256..

Engagement Analysis of Students in Online Learning Environments -- Application of Artificial Intelligence to predict the Degradation of Potential mRNA Vaccines Developed To Treat SARS-CoV-2 -- An Application of Transfer Learning: Fine-Tuning BERT for Spam Email Classification -- MMAP : A Multi-Modal Automated Online Proctor -- Applying Extreme Gradient Boosting for Surface EMG based Sign Language recognition -- Review of Security Aspects of 51 Percent Attack on Blockchain -- Integrated Micro-video Recommender based on Hadoop and Web-Scrapper -- Automated Sleep Staging System based on Ensemble Learning Model using Single-Channel EEG signal -- Segregation and User Interactive Visualization of Covid- 19 Tweets using Text Mining Techniques -- Software Fault Prediction using Data Mining Techniques on Software Metrics.

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets-i.e., big data-to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

ISBN: 9783030824693

Standard No.: 10.1007/978-3-030-82469-3doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I57 2021

Dewey Class. No.: 006.31

Machine learning and big data analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
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520 $a This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets-i.e., big data-to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
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