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Big Data Computing : Advances in Technologies, Methodologies and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Big Data Computing : Advances in Technologies, Methodologies and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Big Data Computing (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032634049 ISBN 13: 9781032634043
Language: English
Paperback. Condition: new. Paperback. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features:Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.Explains computing models using real-world examples and dataset-based experiments.Includes case studies, quality diagrams, and demonstrations in each chapter.Describes modifications and optimization of existing technologies along with the novel big data computing models.Explores references to machine learning, deep learning, and graph processing.This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 55.16
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£ 70.31
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£ 63.34
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£ 73.41
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Big Data Computing (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032634049 ISBN 13: 9781032634043
Language: English
£ 68.35
Convert currency£ 27.63 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features:Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.Explains computing models using real-world examples and dataset-based experiments.Includes case studies, quality diagrams, and demonstrations in each chapter.Describes modifications and optimization of existing technologies along with the novel big data computing models.Explores references to machine learning, deep learning, and graph processing.This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Big Data Computing (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032634049 ISBN 13: 9781032634043
Language: English
£ 69.12
Convert currency£ 37.33 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features:Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.Explains computing models using real-world examples and dataset-based experiments.Includes case studies, quality diagrams, and demonstrations in each chapter.Describes modifications and optimization of existing technologies along with the novel big data computing models.Explores references to machine learning, deep learning, and graph processing.This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Big Data Computing : Advances in Technologies, Methodologies, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 129.23
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Big Data Computing : Advances in Technologies, Methodologies, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 129.72
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Big Data Computing: Advances in Technologies, Methodologies, and Applications
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032555602 ISBN 13: 9781032555607
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 963.
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£ 133.31
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Big Data Computing (Computational Intelligence Techniques)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 150.28
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£ 151.58
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Machine Learning Hybridization and Optimization for Intelligent Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 153.50
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£ 146.32
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Big Data Computing (Hardcover)
Published by Taylor & Francis Ltd, London, 2023
ISBN 10: 1032555602 ISBN 13: 9781032555607
Language: English
Hardcover. Condition: new. Hardcover. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features:Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.Explains computing models using real-world examples and dataset-based experiments.Includes case studies, quality diagrams, and demonstrations in each chapter.Describes modifications and optimization of existing technologies along with the novel big data computing models.Explores references to machine learning, deep learning, and graph processing.This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 164.06
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£ 158.54
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£ 169.96
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Machine Learning Hybridization and Optimization for Intelligent Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 172.54
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£ 171
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Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 179.53
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Machine Learning Hybridization and Optimization for Intelligent Applications (Hardcover)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032737530 ISBN 13: 9781032737539
Language: English
Hardcover. Condition: new. Hardcover. This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation.Features:Focuses on hybridization and optimization of machine learning techniquesReviews supervised, unsupervised, and reinforcement learning using case study-based applicationsCovers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computingExplains computing models using real-world examples and dataset-based experimentsIncludes case study-based explanations and usage for machine learning technologies and applicationsThis book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Condition: Brand New. 330 pages. 9.19x6.13x1.10 inches. In Stock.
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£ 199.50
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Add to basketBuch. Condition: Neu. Neuware - This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
