New Trends And Applications In Internet Of Things Iot And Big Data Analytics

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New Trends and Applications in Internet of Things (IoT) and Big Data Analytics

Rohit Sharma,Dilip Sharma
New Trends and Applications in Internet of Things IoT and Big Data Analytics Book PDF

Author : Rohit Sharma,Dilip Sharma
Publisher : Springer Nature
Page : 278 pages
File Size : 44,9 Mb
Release : 2022-05-16
Category : Technology & Engineering
ISBN : 9783030993290

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New Trends and Applications in Internet of Things (IoT) and Big Data Analytics by Rohit Sharma,Dilip Sharma Pdf

This book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle—and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Taser, Pelin Yildirim
Emerging Trends in IoT and Integration with Data Science Cloud Computing and Big Data Analytics Book PDF

Author : Taser, Pelin Yildirim
Publisher : IGI Global
Page : 334 pages
File Size : 53,7 Mb
Release : 2021-11-05
Category : Computers
ISBN : 9781799841876

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Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by Taser, Pelin Yildirim Pdf

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Big Data Analytics for Internet of Things

Tausifa Jan Saleem,Mohammad Ahsan Chishti
Big Data Analytics for Internet of Things Book PDF

Author : Tausifa Jan Saleem,Mohammad Ahsan Chishti
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 52,9 Mb
Release : 2021-03-23
Category : Mathematics
ISBN : 9781119740766

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Big Data Analytics for Internet of Things by Tausifa Jan Saleem,Mohammad Ahsan Chishti Pdf

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.

Fog Data Analytics for IoT Applications

Sudeep Tanwar
Fog Data Analytics for IoT Applications Book PDF

Author : Sudeep Tanwar
Publisher : Springer Nature
Page : 501 pages
File Size : 50,7 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9789811560446

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Fog Data Analytics for IoT Applications by Sudeep Tanwar Pdf

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.

Big Data, IoT, and Machine Learning

Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
Big Data IoT and Machine Learning Book PDF

Author : Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
Publisher : CRC Press
Page : 319 pages
File Size : 49,6 Mb
Release : 2020-09-01
Category : Computers
ISBN : 9781000098280

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Big Data, IoT, and Machine Learning by Rashmi Agrawal,Marcin Paprzycki,Neha Gupta Pdf

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Data Analytics for Internet of Things Infrastructure

Rohit Sharma,Gwanggil Jeon,Yan Zhang
Data Analytics for Internet of Things Infrastructure Book PDF

Author : Rohit Sharma,Gwanggil Jeon,Yan Zhang
Publisher : Springer Nature
Page : 330 pages
File Size : 42,6 Mb
Release : 2023-09-19
Category : Technology & Engineering
ISBN : 9783031338083

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Data Analytics for Internet of Things Infrastructure by Rohit Sharma,Gwanggil Jeon,Yan Zhang Pdf

This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.

The Internet of Things and Big Data Analytics

Pethuru Raj,T Poongodi,Balamurugan Balusamy,Manju Khari
The Internet of Things and Big Data Analytics Book PDF

Author : Pethuru Raj,T Poongodi,Balamurugan Balusamy,Manju Khari
Publisher : CRC Press
Page : 328 pages
File Size : 40,7 Mb
Release : 2020-06-07
Category : Computers
ISBN : 9781000057393

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The Internet of Things and Big Data Analytics by Pethuru Raj,T Poongodi,Balamurugan Balusamy,Manju Khari Pdf

This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book Analyzes current research and development in the domains of IoT and big data analytics Gives an overview of latest trends and transitions happening in the IoT data analytics space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Innovations in Computational Intelligence Big Data Analytics and Internet of Things Book PDF

Author : Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Publisher : IAP
Page : 385 pages
File Size : 43,8 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9798887305615

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Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi Pdf

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Kai Hwang,Min Chen
Big Data Analytics for Cloud IoT and Cognitive Computing Book PDF

Author : Kai Hwang,Min Chen
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 52,8 Mb
Release : 2017-08-14
Category : Computers
ISBN : 9781119247029

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Big-Data Analytics for Cloud, IoT and Cognitive Computing by Kai Hwang,Min Chen Pdf

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Velayutham, Sathiyamoorthi
Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing Book PDF

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
Page : 350 pages
File Size : 48,9 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799831136

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Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by Velayutham, Sathiyamoorthi Pdf

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Internet of Things and Big Data Analytics Toward Next Generation Intelligence Book PDF

Author : Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Publisher : Springer
Page : 549 pages
File Size : 46,8 Mb
Release : 2017-08-14
Category : Technology & Engineering
ISBN : 9783319604350

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence by Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy Pdf

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Internet of Things and Big Data Applications

Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar
Internet of Things and Big Data Applications Book PDF

Author : Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar
Publisher : Springer Nature
Page : 270 pages
File Size : 43,8 Mb
Release : 2020-02-24
Category : Computers
ISBN : 9783030391195

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Internet of Things and Big Data Applications by Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar Pdf

This book provides essential future directions for IoT and Big Data research. Thanks to rapid advances in sensors and wireless technology, Internet of Things (IoT)-related applications are attracting more and more attention. As more devices are connected, they become potential components for smart applications. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail. The main objective of this book is to reflect the multifaceted nature of IoT and Big Data in a single source. Accordingly, each chapter addresses a specific domain that is now being significantly impacted by the spread of soft computing

Internet of Things and Big Data Analytics for Smart Generation

Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Internet of Things and Big Data Analytics for Smart Generation Book PDF

Author : Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Publisher : Springer
Page : 300 pages
File Size : 46,9 Mb
Release : 2018-12-30
Category : Technology & Engineering
ISBN : 9783030042035

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Internet of Things and Big Data Analytics for Smart Generation by Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari Pdf

This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

Integration of Cloud Computing with Internet of Things

Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Integration of Cloud Computing with Internet of Things Book PDF

Author : Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 44,7 Mb
Release : 2021-03-08
Category : Computers
ISBN : 9781119769309

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Integration of Cloud Computing with Internet of Things by Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty Pdf

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John MacIntyre,Jinghua Zhao,Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John MacIntyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 887 pages
File Size : 43,8 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9783030627461

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John MacIntyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.