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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 … Proceedings in Mathematics & Statistics, 401) 2023rd Edition
Author(s): Rajiv Misra (Editor), Rana Omer (Editor), Muttukrishnan Rajarajan (Editor), Bharadwaj Veeravalli (Editor), Nishtha Kesswani (Editor), Priyanka Mishra (Editor)
- Publisher: Springer
- Publication Date: 7 Jun. 2024
- Edition: 2023rd
- Language: English
- Print length: 576 pages
- ISBN-10: 3031151771
- ISBN-13: 9783031151774
Book Description
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 globeon this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.
Editorial Reviews
From the Back Cover
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.
