£108.97

About as cheap as it gets — within 5% of the all-time low it hit 1 month ago.

£109 today · all-time low £107 (Sep 2026) · usually £109

Springer Big Data Applications and Services 2017 - Conference Proceedings

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£109.13 £107.15 £107.58 £108.01 £108.45 £108.88 £109.31 24 July 2026 13 August 2026 02 September 2026 22 September 2026 13 October 2026
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16 days 49 days 17 days · current 0 12 25 37 49 £107 £108 £109 Days at Price

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Description

This comprehensive volume collects peer-reviewed papers from the 4th International Conference on Big Data Applications and Services, presenting cutting-edge research in big data technologies, machine learning applications, and intelligent systems. Published by Springer as part of the prestigious Advances in Intelligent Systems and Computing series (volume 770), this book brings together contributions from leading researchers and practitioners exploring practical implementations of big data across diverse industries and domains. The proceedings cover emerging trends, innovative methodologies, and real-world case studies that demonstrate how organisations leverage big data analytics for competitive advantage. Essential reading for computer scientists, data engineers, machine learning professionals, and anyone seeking to understand contemporary developments in big data application frameworks, distributed computing architectures, and artificial intelligence integration. This academic resource provides valuable insights into the latest challenges, solutions, and future directions within the rapidly evolving field of big data services and applications.

Key Features

4th International Conference on Big Data Applications and Services proceedings with peer-reviewed research contributions.

Published by Springer as volume 770 in the Advances in Intelligent Systems and Computing series.

Covers machine learning, artificial intelligence, and intelligent systems research presented at the 2017 conference.

Features contributions from leading researchers and practitioners working with big data technologies and applications.

Provides academic insights into real-world big data implementations, methodologies, and emerging industry trends.

Suitable for computer scientists, data engineers, and professionals developing big data solutions and intelligent systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 August 2018
Listed Since
19 April 2018

Barcode

No barcode data available

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