Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
Published on 30. September 2021
Book
Paperback/Softback
XI, 362 pages
978-3-030-82468-6 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
147 farbige Abbildungen, 79 s/w Abbildungen
XI, 362 p. 226 illus., 147 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
569 gr
ISBN-13
978-3-030-82468-6 (9783030824686)
DOI
10.1007/978-3-030-82469-3
Schweitzer Classification
Other editions
Additional editions
Rajiv Misra | Rudrapatna K. Shyamasundar | Amrita Chaturvedi
Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
E-Book
09/2021
Springer
€171.19
Available for download
Content
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.