Data Analytics and IoT are two powerful technologies that are transforming the way we live and work. Together, they offer a unique opportunity to collect, analyze, and interpret vast amounts of data from connected devices, leading to valuable insights that can be used to improve efficiency, optimize processes, and make better decisions.
Data analytics is the process of collecting, cleaning, and analyzing data to identify patterns and trends. It involves using a variety of statistical and machine learning techniques to extract meaningful insights from data. These insights can then be used to improve decision-making, optimize processes, and identify new opportunities.
The Internet of Things (IoT) is a network of physical devices that are embedded with sensors, software, and actuators that enable them to collect and exchange data. These devices can range from simple sensors that track temperature and humidity to complex devices like smart home appliances and industrial machines.
The unique feature of this book is it consists of research findings in the field of Data Analytics and IoT. This book consists of 13 papers. Each has several issues in the area of Data Analytics and IoT. It also consists of result findings from various applications such as health care, education and so on. This book helps the research scholars to know the state-of-art of the work in these areas. It is our pleasure to acknowledge the tireless efforts of many scientists who contributed for the development of this book.
We would specially place on record the help rendered by IIP Publishing house while writing this book. We are thankful to all the team members of publishing house, who are helping us in publishing this book. New suggestions, feedback and comments for further improvement for next edition will be highly appreciated.
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