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Advances in Machine Learning and Big Data Analytics II

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

  • Conference proceedings
  • Oct 2024
  • Latest edition


  • Narrates the development of high-precision algorithms that makes more efficient technologies for healthcare
  • Provides the advanced and conceptual reference materials that help in building and promoting ML and Big Data
  • Provides future directions of R&D and real-world case studies for computer scientists, biomedical engineers

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 442)

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About this book

In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn and adapt from data, revolutionizing decision-making, automation, and predictive capabilities. Meanwhile, Big Data Analytics processes and extracts insights from vast and complex datasets, unveiling hidden patterns and trends. Together, these fields enable us to harness the immense power of data for smarter business strategies, improved healthcare, enhanced user experiences, and countless other applications. This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, which was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India)  introduces an exciting journey into the intersection of machine learning and Big Data Analytics, where data becomes a catalyst for progress and transformation.


  • Big Data Analytics
  • Machine Learning
  • Big Data
  • Artificial Intelligence
  • Algorithms

Editors and Affiliations

  • UMass, Dartmouth, USA

    Ashokkumar Patel

  • Department of Computer Science and Compu, Central Univeristy of Rajasthan, Ajmer, India

    Nishtha Kesswani

  • Lendi Institute of Engineering and Techn, Vizianagaram, India

    Bosubabu Sambana

Bibliographic Information

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

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

  • Editors: Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana

  • 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: 978-3-031-51341-1Due: 24 October 2024

  • Softcover ISBN: 978-3-031-51344-2Due: 24 October 2025

  • eBook ISBN: 978-3-031-51342-8Due: 24 October 2024

  • Series ISSN: 2194-1009

  • Series E-ISSN: 2194-1017

  • Edition Number: 1

  • Number of Pages: X, 470

  • Number of Illustrations: 40 b/w illustrations, 251 illustrations in colour

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