Автор: Geng Название: Internet of Things and Data Analytics Handbook ISBN: 1119173647 ISBN-13(EAN): 9781119173649 Издательство: Wiley Рейтинг: Цена: 20742.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.
Описание: This carefully-researched book covers exciting trends in the dynamic technologies and business sectors of the Internet of Things (IOT) and Machine-to-Machine Communications (M2M). Many industries have put IOT and networked M2M sensors or nodes to work and continue to invest very heavily in advanced research and development (R&D). Today, IOT has synergies with many highly advanced technologies such as artificial intelligence, agtech, transportation equipment, industrial equipment, controls, automation, wireless networks and predictive analytics. This book includes complete details on the innovative, disruptive technologies based on IOT and M2M, plus our analysis of the practical applications of IOT that will lead to exciting new products and services over the mid-term. This reference tool includes statistical tables and thorough market discussions, as well as our highly respected trends analysis. It contains thousands of contacts for business and industry leaders, industry associations, Internet sites and other resources. The corporate section includes our proprietary, in-depth profiles of over 300 leading companies in all facets of IOT, both public and private, U.S. and international. Here you'll find complete profiles of companies that are making news today--the largest, most successful corporations in the IOT business and related sectors. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
Автор: Hei Xiali Название: Security, Data Analytics, and Energy-Aware Solutions in the IoT ISBN: 1799873242 ISBN-13(EAN): 9781799873242 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27166.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores novel methodologies, theories, technologies, and solutions for security and data analytics techniques and energy-aware solutions for the Internet of Things. Covering a wide range of topics such as laser attacks and personal data, it is ideal for academics, industry professionals, researchers, instructors, and students.
Автор: Hei Xiali Название: Security, Data Analytics, and Energy-Aware Solutions in the IoT ISBN: 1799873234 ISBN-13(EAN): 9781799873235 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35897.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The central theme of this book is to report novel methodologies, theories, technologies, techniques, and solutions for security and data analytics techniques and energy-aware solutions for IoT. The book addresses these topics across multiple abstraction levels.
Автор: Minteer Andrew Название: Analytics for the Internet of Things (Iot) ISBN: 1787120732 ISBN-13(EAN): 9781787120730 Издательство: Неизвестно Цена: 9378.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dey, Nilanjan Название: Social Network Analytics ISBN: 0128154586 ISBN-13(EAN): 9780128154588 Издательство: Elsevier Science Рейтинг: Цена: 13304.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more.
As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.
Examines a variety of data analytic techniques that can be applied to social networks
Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change
Covers the most recent research on social network analysis and includes applications to a number of domains
Автор: John Soldatos Название: Building Blocks for IoT Analytics: Internet-of-Things Analytics ISBN: 8793519036 ISBN-13(EAN): 9788793519039 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the main technology building blocks that comprise advanced Internet-of-Things (IoT) analytics systems. The book introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications.
If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep reading
Two manuscripts in one book:
Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our Future
This book covers everything from machine learning to robotics and the internet of things.
You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.
By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.
You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.
In part 1 of this book, you will:
Understand how machines can "think" and how they learn
Learn the five reasons why experts are warning us about AI research
Find the answers to the top six myths of artificial intelligence
Learn what neural networks are and how they work, the "brains" of machine learning
Understand reinforcement learning and how it is used to teach machine learning systems through experience
Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning
Learn the basics of recommender systems
Expand your current view of machines and what is possible with modern robotics
Enter the vast world of the internet of things technologies
Find out why AI is the new business degree
And much, much more
Some of the topics covered in part 2 of this book include:
Origins of IoT
IoT Security
Ethical Hacking
Internet of Things
Under The Cushy Foot of Tech Giants
The Power of Infinite Funds
IoT Toys
Bio-robotics
Predictive Analytics
Machine Learning
Artificial Intelligence
Cybersecurity
Big Data
Business Intelligence
Augmented Reality
Virtual Reality
Our Future
And much, much more
If you want to learn more about the artificial intelligence and internet of things, then scroll up and click "add to cart"
Автор: A. Cecil Donald, A. Dalvin Vinoth Kumar, Paranthaman Ambika Название: Cases on Edge Computing and Analytics ISBN: 1799858294 ISBN-13(EAN): 9781799858294 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms.
Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.
Автор: A. Cecil Donald, A. Dalvin Vinoth Kumar, Paranthaman Ambika Название: Cases on Edge Computing and Analytics ISBN: 1799848736 ISBN-13(EAN): 9781799848738 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 34234.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms.
Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.
Автор: Lei Chen; Christian S. Jensen; Cyrus Shahabi; Xiao Название: Web and Big Data Part II ISBN: 3319635638 ISBN-13(EAN): 9783319635637 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two -volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions.
Автор: Holmes, Dawn E. Название: BIG DATA ISBN: 0198779577 ISBN-13(EAN): 9780198779575 Издательство: Oxford Academ Рейтинг: Цена: 1767.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technology, and also the range of possibilities, challenges, and ethical questions it raises.
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