June 2026
Intermediate
640 pages
17h 16m
English
Content preview from Quantum Machine Learning
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1Essentials of Data Analytics for Smart IoT
J.E. Judith1*, C.R. Jothy1, C. Dhayananth Jegan2 and A.J. Anju3
1Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India
2Department of Mechanical Engineering, Stella Mary’s College of Engineering, Nagercoil, Tamil Nadu, India
3Department of Computer Science and Engineering, Vimal Jyothi Engineering College, Kannur, Tamil Nadu, India
Abstract
The Internet of Things (IoT) has brought a new paradigm in how devices can communicate and interact, leading to the emergence of intelligent infrastructures for data production, processing, and analysis. This chapter examines the principles of data analytics in the context of Smart IoT, emphasizing its vital role in transforming raw data into valuable insights. The chapter begins with a conceptual explanation of IoT and Smart IoT, their relevance, and the data-oriented paradigm of these technologies. Then, it examines various data analytics approaches that are applicable to the extraction of features from IoT-derived data, as well as data storage and management methods. Tooling and technology of data collection and storage/reproduction/processing and analysis, including cloud computing, edge computing, and big data platform, are also in the discussion. The main aspects of the data analytics of Smart IoT are described in different fields. In the chapter discussion, case studies and practical examples are used to describe how data ...
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