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9781032555607 - Big Data Computing Computational Intelligence Techniques (15 results)
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Condition: As New. Unread book in perfect condition.
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US$ 200.01
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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
US$ 191.83
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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
US$ 198.63
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Big Data Computing: Advances in Technologies, Methodologies, and Applications
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032555602 ISBN 13: 9781032555607
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 198.65
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Big Data Computing (Computational Intelligence Techniques)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 219.34
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Add to basketHardcover. Condition: Brand New. 330 pages. 9.19x6.13x1.10 inches. In Stock.
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Big Data Computing
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 396 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tanvir Habib Sardar has 15 years of experience in the IT industry and academia. He is currently working as Assistant Professor, Dept. of CSE, GITAM School of Technology, GITAM University, Bengaluru, India. Dr Sardar obtaine.
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Big Data Computing
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 224.21
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. PRINT ON DEMAND.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
