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Institution of Engineering & Technology Big Data Recommender Systems - IET Computing and Networks

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Description

Explore the foundational elements of modern data science with Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust (Volume 1). Published by the Institution of Engineering and Technology, this volume is part of the specialized Computing and Networks series. It provides a structured look into the technical frameworks required to manage and utilize large-scale data sets. This book covers essential topics including the design of recommendation algorithms and the architectures that support them. As data grows in scale, understanding the security and trust aspects of these systems becomes vital for any professional in the field. Whether you are studying network topics or working in computing and internet security, this text offers a focused approach to the complex world of big data. It serves as a valuable resource for those looking to understand how recommendation engines function within modern digital infrastructures.

Key Features

Comprehensive coverage of recommendation algorithms and their application in big data environments.

Detailed insights into the architectures used to support large-scale data processing and delivery.

Focus on security and trust to help navigate the challenges of data integrity and user privacy.

Part of the professional Computing and Networks series from the Institution of Engineering and Technology.

Targeted content for professionals and students studying networking and internet security topics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 August 2019
Listed Since
05 December 2018

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