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Big Data And Networks Technologies


Big Data And Networks Technologies
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Big Data Technologies And Applications


Big Data Technologies And Applications
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Author : Borko Furht
language : en
Publisher: Springer
Release Date : 2016-09-16

Big Data Technologies And Applications written by Borko Furht and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-16 with Computers categories.


The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.



Big Data And Networks Technologies


Big Data And Networks Technologies
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Author : Yousef Farhaoui
language : en
Publisher: Springer
Release Date : 2019-07-17

Big Data And Networks Technologies written by Yousef Farhaoui and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-17 with Computers categories.


This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers,lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.



Computer Networks Big Data And Iot


Computer Networks Big Data And Iot
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Author : A.Pasumpon Pandian
language : en
Publisher: Springer Nature
Release Date : 2021-06-21

Computer Networks Big Data And Iot written by A.Pasumpon Pandian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-21 with Technology & Engineering categories.


This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.



Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks


Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks
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Author : Sanjoy Das
language : en
Publisher:
Release Date : 2022

Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks written by Sanjoy Das and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Ad hoc networks (Computer networks) categories.


"This reference text covers intelligent computing through Internet of Things (IoT) and Big Data in Vehicular Environment in a single volume. The text covers important topics including topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular Ad-hoc network, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna"--



Big Data In Complex And Social Networks


Big Data In Complex And Social Networks
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Author : My T. Thai
language : en
Publisher: CRC Press
Release Date : 2016-12-01

Big Data In Complex And Social Networks written by My T. Thai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Business & Economics categories.


This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior. The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth.



Computer Networks Big Data And Iot


Computer Networks Big Data And Iot
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Author : A. Pasumpon Pandian
language : en
Publisher: Springer Nature
Release Date : 2022-05-21

Computer Networks Big Data And Iot written by A. Pasumpon Pandian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-21 with Technology & Engineering categories.


This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9–10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.



Digital Lawyering


Digital Lawyering
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Author : Emma Jones
language : en
Publisher: Routledge
Release Date : 2021-11-29

Digital Lawyering written by Emma Jones and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-29 with Law categories.


In today’s rapidly changing legal landscape, becoming a digital lawyer is vital to success within the legal profession. This textbook provides an accessible and thorough introduction to digital lawyering, present and future, and a toolkit for gaining the key attributes and skills required to utilise technology within legal practice effectively. Digital technologies have already begun a radical transformation of the legal profession and the justice system. Digital Lawyering introduces students to all key topics, from the role of blockchain to the use of digital evidence in courtrooms, supported by contemporary case studies and integrated, interactive activities. The book considers specific forms of technology, such as Big Data, analytics and artificial intelligence, but also broader issues including regulation, privacy and ethics. It encourages students to explore the impact of digital lawyering upon professional identity, and to consider the emerging skills and competencies employers now require. Using this textbook will allow students to identify, discuss and reflect on emerging issues and trends within digital lawyering in a critical and informed manner, drawing on both its theoretical basis and accounts of its use in legal practice. Digital Lawyering is ideal for use as a main textbook on modules focused on technology and law, and as a supplementary textbook on modules covering lawyering and legal skills more generally.



Big Data


Big Data
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Author : Min Chen
language : en
Publisher: Springer
Release Date : 2014-05-05

Big Data written by Min Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-05 with Computers categories.


This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.



Handbook Of Big Data Analytics


Handbook Of Big Data Analytics
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Author : Vadlamani Ravi
language : en
Publisher: IET
Release Date : 2021-07-09

Handbook Of Big Data Analytics written by Vadlamani Ravi and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-09 with Computers categories.


This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.



Cloud Networking For Big Data


Cloud Networking For Big Data
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Author : Deze Zeng
language : en
Publisher: Springer
Release Date : 2015-12-09

Cloud Networking For Big Data written by Deze Zeng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-09 with Computers categories.


This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (SDN) and network function virtualization (NFV) technologies as key cloud networking technologies. The authors illustrate that SDN and NFV can be applied to benefit the big data processing by proposing a cloud networking framework. Based on the framework, two case studies examine how to improve the cost efficiency of big data processing. Cloud Networking for Big Data targets professionals and researchers working in big data, networks, wireless communications and information technology. Advanced-level students studying computer science and electrical engineering will also find this book valuable as a study guide.