Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics

Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics book. This book definitely worth reading, it is an incredibly well-written.

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 : 40,8 Mb
Release : 2021-11-05
Category : Computers
ISBN : 9781799841876

Get Book

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.

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 : 55,8 Mb
Release : 2021-03-08
Category : Computers
ISBN : 9781119769309

Get Book

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.

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 : 42,6 Mb
Release : 2017-08-14
Category : Computers
ISBN : 9781119247029

Get Book

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.

Machine Learning Approach for Cloud Data Analytics in IoT

Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
Machine Learning Approach for Cloud Data Analytics in IoT Book PDF

Author : Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 45,9 Mb
Release : 2021-07-14
Category : Computers
ISBN : 9781119785859

Get Book

Machine Learning Approach for Cloud Data Analytics in IoT by Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri Pdf

Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

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 : 42,8 Mb
Release : 2021-03-23
Category : Mathematics
ISBN : 9781119740766

Get Book

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.

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 : 54,5 Mb
Release : 2022-05-16
Category : Technology & Engineering
ISBN : 9783030993290

Get Book

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.

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 : 46,9 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799831136

Get Book

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.

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 : 43,6 Mb
Release : 2020-06-07
Category : Computers
ISBN : 9781000057393

Get Book

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.

Towards the Integration of IoT, Cloud and Big Data

Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar
Towards the Integration of IoT Cloud and Big Data Book PDF

Author : Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar
Publisher : Springer Nature
Page : 164 pages
File Size : 40,9 Mb
Release : 2023-10-23
Category : Technology & Engineering
ISBN : 9789819960347

Get Book

Towards the Integration of IoT, Cloud and Big Data by Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar Pdf

This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.

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 : 53,6 Mb
Release : 2020-09-01
Category : Computers
ISBN : 9781000098280

Get Book

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

Security, Data Analytics, and Energy-Aware Solutions in the IoT

Hei, Xiali
Security Data Analytics and Energy Aware Solutions in the IoT Book PDF

Author : Hei, Xiali
Publisher : IGI Global
Page : 218 pages
File Size : 55,5 Mb
Release : 2021-12-24
Category : Computers
ISBN : 9781799873259

Get Book

Security, Data Analytics, and Energy-Aware Solutions in the IoT by Hei, Xiali Pdf

Internet of things networks have shown promising outcomes in the provisioning of potentially critical services such as safety applications, healthcare, and manufacturing. However, there are many challenges related to the security, data analysis, and limited resources of the performed operations that require further investigation. Additional research is necessary to address the concerns and doubts of researchers and industry professionals in the Internet of Things. Security, Data Analytics, and Energy-Aware Solutions in the IoT reports 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 academicians, industry professionals, researchers, instructors, and students.

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 : 46,6 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9783030627461

Get Book

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.

Big Data Analytics in Fog-Enabled IoT Networks

Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui
Big Data Analytics in Fog Enabled IoT Networks Book PDF

Author : Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui
Publisher : CRC Press
Page : 235 pages
File Size : 42,7 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000861860

Get Book

Big Data Analytics in Fog-Enabled IoT Networks by Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui Pdf

The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks. This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.

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 : 907 pages
File Size : 53,5 Mb
Release : 2020-11-03
Category : Computers
ISBN : 9783030627430

Get Book

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.

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 : 47,8 Mb
Release : 2023-09-19
Category : Technology & Engineering
ISBN : 9783031338083

Get Book

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.