Big Data Analytics for Sustainable Computing, Anandakumar Haldorai, Arulmurugan Ramu

Автор: Anandakumar Haldorai, Arulmurugan Ramu
Название: Big Data Analytics for Sustainable Computing
ISBN: 1522597514 ISBN-13(EAN): 9781522597513
Издательство: Mare Nostrum (Eurospan)
Цена: 180180.00 T
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Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Автор: Arun Kumar Sangaiah; Ajith Abraham; Patrick Siarry
Название: Intelligent Decision Support Systems for Sustainable Computing
ISBN: 3319531522 ISBN-13(EAN): 9783319531526
Издательство: Springer
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Цена: 139750.00 T
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Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-

Автор: Kang Li; Shaoyuan Li; Dewei Li; Qun Niu
Название: Intelligent Computing for Sustainable Energy and Environment
ISBN: 3642371043 ISBN-13(EAN): 9783642371042
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2012, held in Shanghai, China, in September 2012.

Автор: David Loshin
Название: Big Data Analytics,
ISBN: 0124173195 ISBN-13(EAN): 9780124173194
Издательство: Elsevier Science
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Цена: 26940.00 T
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Описание: A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management.

Автор: Anandakumar Haldorai; Arulmurugan Ramu; Sudha Moha
Название: EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
ISBN: 3030195619 ISBN-13(EAN): 9783030195618
Издательство: Springer
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Цена: 139750.00 T
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Описание: This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018), took place on 13 – 15 December 2018 in Coimbatore, India.

Автор: Himansu Das; Rabindra K. Barik; Harishchandra Dube
Название: Cloud Computing for Geospatial Big Data Analytics
ISBN: 3030033589 ISBN-13(EAN): 9783030033583
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Автор: Chiranji Lal Chowdhary
Название: Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics
ISBN: 1771888008 ISBN-13(EAN): 9781771888004
Издательство: Taylor&Francis
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Цена: 133730.00 T
Наличие на складе: Невозможна поставка.
Описание: This volume, Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics, helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing approaches to develop good intelligent system

Автор: Janmenjoy Nayak; Ajith Abraham; B. Murali Krishna;
Название: Soft Computing in Data Analytics
ISBN: 9811305137 ISBN-13(EAN): 9789811305139
Издательство: Springer
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Цена: 186330.00 T
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Описание: The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.

Автор: Anandakumar H., Arulmurugan R., Onn Chow Chee
Название: Computational Intelligence and Sustainable Systems: Intelligence and Sustainable Computing
ISBN: 3030026736 ISBN-13(EAN): 9783030026738
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures, algorithms, and applications; biomedical informatics and computation; artificial intelligence and machine learning; green technologies in information; and more. The book includes contributions from a wide range of researchers, academicians, and industry professionals. The book is made up both of extended papers presented at the International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications.

Автор: Meiselwitz
Название: Social Computing and Social Media. Technologies and Analytics
ISBN: 3319914847 ISBN-13(EAN): 9783319914848
Издательство: Springer
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Цена: 68930.00 T
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Описание: The two volumes set LNCS 10913-10914 of SCSM 2018 constitutes the proceedings of the 10th International Conference on Social Computing and Social Media, SCSM 2018, held as part of the International Conference on Human-Computer Interaction, HCII 2018, held in Las Vegas, NV, USA, in July 2018.

Автор: Sharma
Название: Computing, Analytics and Networks
ISBN: 9811307547 ISBN-13(EAN): 9789811307546
Издательство: Springer
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Цена: 63350.00 T
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Описание: This book constitutes the revised selected papers from the First International Conference on Computing, Analytics and Networks, ICAN 2017, held in Rajpura, India, in October 2017.The 20 revised full papers presented in this volume were carefully reviewed and selected from 56 submissions.

Автор: Prasant Kumar Pattnaik; Siddharth Swarup Rautaray;
Название: Progress in Computing, Analytics and Networking
ISBN: 981107870X ISBN-13(EAN): 9789811078705
Издательство: Springer
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Цена: 139750.00 T
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Описание: The book focuses to foster new and original research ideas and results in three broad areas: computing, analytics, and networking with its prospective applications in the various interdisciplinary domains of engineering. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging real world problems. It also provides insights into the International Conference on Computing Analytics and Networking (ICCAN 2017) which is a premier international open forum for scientists, researchers and technocrats in academia as well as in industries from different parts of the world to present, interact, and exchange the state of art of concepts, prototypes, innovative research ideas in several diversified fields. The book includes invited keynote papers and paper presentations from both academia and industry to initiate and ignite our young minds in the meadow of momentous research and thereby enrich their existing knowledge. The book aims at postgraduate students and researchers working in the discipline of Computer Science & Engineering. It will be also useful for the researchers working in the domain of electronics as it contains some hardware technologies and forthcoming communication technologies.