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Machine Learning and Big Data Analytics 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Yhteisötekijä: SpringerLink (Online service)
Muut tekijät: Misra, Rajiv (Toimittaja), Omer, Rana (Toimittaja), Rajarajan, Muttukrishnan (Toimittaja), Veeravalli, Bharadwaj (Toimittaja), Kesswani, Nishtha (Toimittaja), Mishra, Priyanka (Toimittaja)
Aineistotyyppi: Elektroninen E-kirja
Kieli:englanti
Julkaistu: Cham : Springer International Publishing : Imprint: Springer, 2023.
Painos:1st ed. 2023.
Sarja:Springer Proceedings in Mathematics & Statistics, 401
Aiheet:
Mathematical statistics.
Machine learning.
Quantitative research.
Artificial intelligence > Data processing.
Mathematical Statistics.
Machine Learning.
Data Analysis and Big Data.
Data Science.
Linkit:https://doi.org/10.1007/978-3-031-15175-0
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Kuvaus
Yhteenveto:This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.
Ulkoasu:1 online resource (X, 566 p. 264 illus.). 219 illus. in color.
ISBN:9783031151750
ISSN:2194-1017 ;
DOI:10.1007/978-3-031-15175-0

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