Big Data, IoT, and Machine Learning

Big Data, IoT, and Machine Learning

Author: Rashmi Agrawal

Publisher: CRC Press

ISBN: 9781000098280

Category: Computers

Page: 319

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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
Big Data, IoT, and Machine Learning
Language: en
Pages: 319
Authors: Rashmi Agrawal, Marcin Paprzycki, Neha Gupta
Categories: Computers
Type: BOOK - Published: 2020-09-01 - Publisher: CRC Press

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
Internet of Things and Big Data Applications
Language: en
Pages: 270
Authors: Valentina E. Balas, Vijender Kumar Solanki, Raghvendra Kumar
Categories: Computers
Type: BOOK - Published: 2020-02-24 - Publisher: Springer Nature

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
Handbook of Research on Cloud Computing and Big Data Applications in IoT
Language: en
Pages: 609
Authors: Gupta, B. B., Agrawal, Dharma P.
Categories: Computers
Type: BOOK - Published: 2019-04-12 - Publisher: IGI Global

Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it
Internet of Things and Data Analytics Handbook
Language: en
Pages: 800
Authors: Hwaiyu Geng
Categories: Technology & Engineering
Type: BOOK - Published: 2017-01-10 - Publisher: John Wiley & Sons

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing,
New Trends and Applications in Internet of Things (IoT) and Big Data Analytics
Language: en
Pages: 271
Authors: Rohit Sharma, Dilip Sharma
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-17 - Publisher: Springer Nature

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