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Springer Big Data and Data Science Engineering Volume 7 - Springer

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Description

Big Data and Data Science Engineering: Volume 7 is part of the Studies in Computational Intelligence series from Springer, offering comprehensive research and practical insights into advanced data science methodologies and engineering approaches. This volume brings together expert contributions on cutting-edge topics in big data analytics, machine learning applications, and data-driven engineering solutions. Ideal for researchers, academics, and professionals working in artificial intelligence and computational intelligence fields, this book provides in-depth analysis of current challenges and innovations in processing, analysing, and leveraging large-scale datasets. The Studies in Computational Intelligence series is recognised for publishing peer-reviewed work that advances the field of computational methods and their real-world applications across industries.

Key Features

Volume 7 of the Studies in Computational Intelligence series, focusing on big data and data science engineering research and developments.

Published by Springer, a leading academic publisher known for high-quality peer-reviewed scientific and technical publications.

Covers advanced topics in data science, machine learning, and artificial intelligence applications within computational intelligence frameworks.

Suitable for researchers, academics, and professionals seeking current knowledge in big data analytics and engineering practices.

Part of a comprehensive series designed to publish innovative research on computational methods and their practical applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 May 2025
Listed Since
19 October 2024

Barcode

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