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Advances in Machine Learning and Big Data Analytics I

ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30

  • Conference proceedings
  • Oct 2024
  • Latest edition

Overview

  • Provides researchers with tools to analyze and solve incomplete data
  • Addresses potential aspects of machine learning techniques in simulations of applications
  • Shows the powerful algorithms, concepts and principles of ML and BDA to a wide spectrum of research cases

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 441)

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About this book

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) 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.


Keywords

  • Computer Science
  • Informatics
  • Conference Proceedings
  • Research
  • Applications
  • Big Data Analytics
  • Machine Learning
  • Artificial Intelligence

Editors and Affiliations

  • Computer & Information Science, University of Massachusetts Dartmouth, Dartmouth, USA

    Ashokkumar Patel

  • Department of Computer Science, Central University of Rajasthan, Ajmer, India

    Nishtha Kesswani

  • Electronics & Communication Engineering, North Eastern Regional Institute of Scie, Arunachal Pradesh, India

    Madhusudhan Mishra

  • Department of Electronics and Comm Engg, National Institute of Technology, Arunachal Pradesh, India

    Preetisudha Meher

Bibliographic Information

  • Book Title: Advances in Machine Learning and Big Data Analytics I

  • Book Subtitle: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30

  • Editors: Ashokkumar Patel, Nishtha Kesswani, Madhusudhan Mishra, Preetisudha Meher

  • Series Title: Springer Proceedings in Mathematics & Statistics

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Hardcover ISBN: 978-3-031-51337-4Due: 31 October 2024

  • Softcover ISBN: 978-3-031-51340-4Due: 31 October 2025

  • eBook ISBN: 978-3-031-51338-1Due: 31 October 2024

  • Series ISSN: 2194-1009

  • Series E-ISSN: 2194-1017

  • Edition Number: 1

  • Number of Pages: XVI, 606

  • Number of Illustrations: 50 b/w illustrations, 315 illustrations in colour

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