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Cloud Computing and Big Data, Weizhong Qiang; Xianghan Zheng; Ching-Hsien Hsu


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Цена: 52170.00T
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При оформлении заказа до: 2025-07-28
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Автор: Weizhong Qiang; Xianghan Zheng; Ching-Hsien Hsu
Название:  Cloud Computing and Big Data
ISBN: 9783319284293
Издательство: Springer
Классификация:






ISBN-10: 3319284290
Обложка/Формат: Paperback
Страницы: 400
Вес: 0.58 кг.
Дата издания: 03.02.2016
Серия: Programming and Software Engineering
Язык: English
Размер: 234 x 156 x 22
Основная тема: Computer Science
Подзаголовок: Second International Conference, CloudCom-Asia 2015, Huangshan, China, June 17-19, 2015, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of theSecond International Conference on Cloud Computing and Big Data, CloudCom-Asia2015, held in Huangshan, China, in June 2015. The 29 full papers and two keynote speeches werecarefully reviewed and selected from 106 submissions.

Algorithmic Aspects of Cloud Computing

Автор: Timos Sellis; Konstantinos Oikonomou
Название: Algorithmic Aspects of Cloud Computing
ISBN: 3319570447 ISBN-13(EAN): 9783319570440
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. transactional models and algorithms for cloud databases;

Advances in Mobile Cloud Computing and Big Data in the 5G Era

Автор: Mavromoustakis
Название: Advances in Mobile Cloud Computing and Big Data in the 5G Era
ISBN: 331945143X ISBN-13(EAN): 9783319451435
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.

Cloud Computing for Data-Intensive Applications

Автор: Xiaolin Li; Judy Qiu
Название: Cloud Computing for Data-Intensive Applications
ISBN: 1493955152 ISBN-13(EAN): 9781493955152
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book presents a range of cloud computing platforms for data-intensive scientific applications. algorithms that manage vast cloud resources and applications runtime; Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks.

Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data

Автор: Chen
Название: Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
ISBN: 9811031673 ISBN-13(EAN): 9789811031670
Издательство: Springer
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Цена: 55900.00 T
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Описание: This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016.The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.

Conquering Big Data with High Performance Computing

Автор: Arora
Название: Conquering Big Data with High Performance Computing
ISBN: 3319337408 ISBN-13(EAN): 9783319337401
Издательство: Springer
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Цена: 149060.00 T
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Описание:

This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.
Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.
Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.

Data Science and Big Data Computing

Автор: Mahmood
Название: Data Science and Big Data Computing
ISBN: 3319318594 ISBN-13(EAN): 9783319318592
Издательство: Springer
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Цена: 121110.00 T
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Описание: This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.

Big Data Computing and Communications

Автор: Wang
Название: Big Data Computing and Communications
ISBN: 3319425528 ISBN-13(EAN): 9783319425528
Издательство: Springer
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Цена: 59630.00 T
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Описание: This book constitutes the proceedings of the Second International Conference on Big Data Computing and Communications, BigCom 2016, held in Shenyang, China, in July 2016.

Distributed Computing in Big Data Analytics

Автор: Sourav Mazumder; Robin Singh Bhadoria; Ganesh Chan
Название: Distributed Computing in Big Data Analytics
ISBN: 3319598333 ISBN-13(EAN): 9783319598338
Издательство: Springer
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Цена: 111790.00 T
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Описание: However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics.

Big Data Computing and Communications

Автор: Yu Wang; Hui Xiong; Shlomo Argamon; XiangYang Li;
Название: Big Data Computing and Communications
ISBN: 3319220462 ISBN-13(EAN): 9783319220468
Издательство: Springer
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Цена: 67080.00 T
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Описание: This book constitutes the proceedings of the First International Conference on Big Data Computing and Communications, BigCom 2015, held in Taiyuan, China, in August 2015. They were organized in topical sections named: wireless communication and networks; sensor networks and RFID; social networks and recommendation;

Data Mining with R

Автор: Torgo
Название: Data Mining with R
ISBN: 1439810184 ISBN-13(EAN): 9781439810187
Издательство: Taylor&Francis
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Цена: 66340.00 T
Наличие на складе: Нет в наличии.
Описание: This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code.

Cloud Computing

Автор: Nikos Antonopoulos; Lee Gillam
Название: Cloud Computing
ISBN: 1447125800 ISBN-13(EAN): 9781447125808
Издательство: Springer
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Цена: 153720.00 T
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Описание: This essential reference is a thorough and timely examination of the services, interfaces and types of applications that can be executed on cloud-based systems. Among other things, it identifies and highlights state-of-the-art techniques and methodologies.

Cloud Computing for Enterprise Architectures

Автор: Zaigham Mahmood; Richard Hill
Название: Cloud Computing for Enterprise Architectures
ISBN: 144715861X ISBN-13(EAN): 9781447158615
Издательство: Springer
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Цена: 130430.00 T
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Описание: This important text provides a single point of reference for state-of-the-art cloud computing design and implementation techniques. presents the state-of-the-art in enterprise architecture approaches with respect to cloud computing models, frameworks, technologies, and applications;


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