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๐Ÿ“

Data Analytics for Internet of Things Infrastructure

โœ Scribed by Rohit Sharma; Gwanggil Jeon; Yan Zhang


Publisher
Springer Nature Switzerland
Year
2023
Tongue
English
Leaves
341
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Cover
Front Matter
Big Data in Cloud Today: A Comprehensive Survey
Cloud of Things Platform for a Water Meter Network
Online Newspaper Development within the Internet of Things Environment: The Role of Computer-Mediated Communication
FATS (Fuzzy Authentication to Provide Trust-Based Security) in VANET to Mitigate Black Hole Attack
AI-Based Chatbot Agents as Drivers of Purchase Intentions: An Interdisciplinary Study
An Intelligent Model for Identifying Fluctuations in the Stock Market and Predicting Investment Policies with Guaranteed Returns
Sandwiched Metasurface Antenna for Small Spacecrafts in IoT Infrastructure
Development of Laser-Beam Cutting-Edge Technology and IOT-Based Race Car Lapse Time Computational System
A Study of Cloud-Based Solution for Data Analytics
An Intelligent Model for Optimizing Sparsity Problem Toward Movie Recommendation Paradigm Using Machine Learning
Techniques to Identify Image Objects Under Adverse Environmental Conditions: A Systematic Literature Review
Technology-Enhanced Teaching and Learning During the COVID-19 Pandemic
The Symbiotic Relation of IoT and AI for Applications in Various Domains: Trends and Future Directions
Text Summarization for Big Data Analytics: A Comprehensive Review of GPT 2 and BERT Approaches
Leveraging Secured E-Voting Using Decentralized Blockchain Technology
Multilayer Security and Privacy Provision in Internet of Things Networks: Challenges and Future Trends
A Methodology for the Development of Soft Sensors with Kafka-ML
Back Matter


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