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Handbook of Data Intensive Computing, Borko Furht; Armando Escalante


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Автор: Borko Furht; Armando Escalante
Название:  Handbook of Data Intensive Computing
ISBN: 9781489999191
Издательство: Springer
Классификация:





ISBN-10: 1489999191
Обложка/Формат: Paperback
Страницы: 794
Вес: 1.11 кг.
Дата издания: 03.03.2014
Язык: English
Размер: 234 x 156 x 41
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Data-intensive computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. This volume of expert commentary addresses matters related to both theory and applications.


Intelligent Agents in Data-intensive Computing

Автор: Joanna Ko?odziej; Lu?s Correia; Jos? Manuel Molina
Название: Intelligent Agents in Data-intensive Computing
ISBN: 3319365207 ISBN-13(EAN): 9783319365206
Издательство: Springer
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Цена: 15672.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Bio-Inspired ICT for Big Data Management in Healthcare.- Control AspectsiIn Multiagent Systems.- A Different Perspective of Agent-Based Techniques: Markovian Agents.- Autonomous, Adaptive, And Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes.- Formal Specification Language and Agent Applications.- Large-Scale Simulations with FLAME.- Cloud Computing and Multiagent Systems, A Promising Relationship.- Privacy Risks in Cloud Computing.- Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols.

Handbook of Large-Scale Distributed Computing in Smart Healthcare

Автор: Samee U. Khan; Albert Y. Zomaya; Assad Abbas
Название: Handbook of Large-Scale Distributed Computing in Smart Healthcare
ISBN: 3319582798 ISBN-13(EAN): 9783319582795
Издательство: Springer
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Цена: 41925.00 р.
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Описание: This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs.

The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.

Recent Advances on Soft Computing and Data Mining

Автор: Herawan
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 331951279X ISBN-13(EAN): 9783319512792
Издательство: Springer
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Цена: 41787.00 р.
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Описание:

This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data.
The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.
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: 20962.00 р.
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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.

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: 22359.00 р.
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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: 18167.00 р.
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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: 8944.00 р.
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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.

Intelligent Agents in Data-intensive Computing

Автор: Joanna Ko?odziej; Lu?s Correia; Jos? Manuel Molina
Название: Intelligent Agents in Data-intensive Computing
ISBN: 3319237411 ISBN-13(EAN): 9783319237411
Издательство: Springer
Рейтинг:
Цена: 18284.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Bio-Inspired ICT for Big Data Management in Healthcare.- Control AspectsiIn Multiagent Systems.- A Different Perspective of Agent-Based Techniques: Markovian Agents.- Autonomous, Adaptive, And Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes.- Formal Specification Language and Agent Applications.- Large-Scale Simulations with FLAME.- Cloud Computing and Multiagent Systems, A Promising Relationship.- Privacy Risks in Cloud Computing.- Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols.

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: 8385.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Mastering Data-Intensive Collaboration and Decision Making

Автор: Nikos Karacapilidis
Название: Mastering Data-Intensive Collaboration and Decision Making
ISBN: 3319026119 ISBN-13(EAN): 9783319026114
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book explores the EU Dicode project, which facilitates collaboration and decision making in data-intensive and cognitively complex settings. The emphasis is on exploitation of big data, and on collaboration and issues related to sense-making support.

Soft Computing in Data Science

Автор: Berry
Название: Soft Computing in Data Science
ISBN: 9811027765 ISBN-13(EAN): 9789811027765
Издательство: Springer
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Цена: 9503.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2016, held in Putrajaya, Malaysia, in September 2016. The 27 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on artificial neural networks; classification, clustering, visualization; fuzzy logic; information and sentiment analytics.


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