The book explores the deployment of semantic technologies in data analysis, focusing on the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. It addresses challenges in designing web-based IoT systems, provides a comparative analysis of advanced approaches, and contains an analysis of databases to provide expert systems. It aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on IoT and big data analytics.

Format: Hardback
Length: 326 pages
Publication date: 20 September 2023
Publisher: Springer International Publishing AG

This comprehensive book offers valuable techniques for deploying semantic technologies in data analysis, along with the latest advancements across various fields, including the Internet of Things (IoT). The authors delve into the utilization of IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud computing, and smart cities. They emphasize the impact of IoT-generated big data on the existing data processing capabilities of IoT and advocate for the integration of data analytics to enhance solutions. The book tackles the complexities involved in designing web-based IoT systems, presents a comparative analysis of advanced approaches in industries, and includes an analysis of databases to develop expert systems. Its primary objective is to bring together renowned academic scientists, researchers, and research scholars to exchange and disseminate their knowledge and research findings on all aspects of IoT and big data analytics.

Book Overview

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.

Introduction

This comprehensive book offers valuable techniques for deploying semantic technologies in data analysis, along with the latest advancements across various fields, including the Internet of Things (IoT). The authors delve into the utilization of IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud computing, and smart cities. They emphasize the impact of IoT-generated big data on the existing data processing capabilities of IoT and advocate for the integration of data analytics to enhance solutions. The book tackles the complexities involved in designing web-based IoT systems, presents a comparative analysis of advanced approaches in industries, and includes an analysis of databases to develop expert systems. Its primary objective is to bring together renowned academic scientists, researchers, and research scholars to exchange and disseminate their knowledge and research findings on all aspects of IoT and big data analytics.

Key Features

The book provides a comprehensive overview of semantic technologies and their applications in data analysis. It covers topics such as data modeling, data mining, machine learning, and natural language processing. The authors discuss the challenges associated with these technologies and provide solutions to overcome them. They also highlight the importance of data analytics in improving decision-making processes and business outcomes. The book includes case studies and real-world examples to illustrate the practical applications of semantic technologies. Additionally, it covers the latest trends and developments in the field of IoT and big data analytics.

Applications in Business Intelligence

The book discusses the use of semantic technologies in business intelligence. It covers topics such as data visualization, data discovery, and data analysis. The authors explain how semantic technologies can be used to improve the efficiency and effectiveness of business intelligence processes. They also discuss the challenges associated with big data in business intelligence and provide solutions to overcome them. The book includes case studies and real-world examples to illustrate the practical applications of semantic technologies in business intelligence. Additionally, it covers the latest trends and developments in the field of IoT and big data analytics.

Data Management

The book provides a comprehensive overview of data management. It covers topics such as data storage, data retrieval, data analysis, and data visualization. The authors discuss the challenges associated with data management and provide solutions to overcome them. They also highlight the importance of data analytics in improving decision-making processes and business outcomes. The book includes case studies and real-world examples to illustrate the practical applications of semantic technologies in data management. Additionally, it covers the latest trends and developments in the field of IoT and big data analytics.

Hadoop

The book provides a comprehensive overview of Hadoop. It covers topics such as Hadoop architecture, Hadoop programming, and Hadoop applications. The authors discuss the challenges associated with Hadoop and provide solutions to overcome them. They also highlight the importance of data analytics in improving decision-making processes and business outcomes. The book includes case studies and real-world examples to illustrate the practical applications of semantic technologies in Hadoop. Additionally, it covers the latest trends and developments in the field of IoT and big data analytics.

Machine Learning

The book provides a comprehensive overview of machine learning. It covers topics such as machine learning algorithms, machine learning models, and machine learning applications. The authors discuss the challenges associated with machine learning and provide solutions to overcome them. They also highlight the importance of data analytics in improving decision-making processes and business outcomes. The book includes case studies and real-world examples to illustrate the practical applications of semantic technologies in machine learning. Additionally, it covers the latest trends and developments in the field of IoT and big data analytics.

Cloud Computing

The book provides a comprehensive overview of cloud computing. It covers topics such as cloud architecture, cloud programming, and cloud applications. The authors discuss the challenges associated with cloud computing and provide solutions to overcome them. They also highlight the importance of data analytics in improving decision-making processes and business outcomes. The book includes case studies and real-world examples to illustrate the practical applications of semantic technologies in cloud computing. Additionally, it covers the latest trends and developments in the field of IoT and big data analytics.

Smart Cities

The book provides a comprehensive overview of smart cities. It covers topics such as smart city infrastructure, smart city applications, and smart city data analytics. The authors discuss the challenges associated with smart cities and provide solutions to overcome them. They also highlight the importance of data analytics in improving decision-making processes and business outcomes. The book includes case studies and real-world examples to illustrate the practical applications of semantic technologies in smart cities. Additionally, it covers the latest trends and developments in the field of IoT and big data analytics.

Conclusion

In conclusion, this comprehensive book provides valuable techniques for deploying semantic technologies in data analysis, along with the latest advancements across various fields, including the Internet of Things (IoT). The authors delve into the utilization of IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud computing, and smart cities. They emphasize the impact of IoT-generated big data on the existing data processing capabilities of IoT and advocate for the integration of data analytics to enhance solutions. The book tackles the complexities involved in designing web-based IoT systems, presents a comparative analysis of advanced approaches in industries, and includes an analysis of databases to develop expert systems. Its primary objective is to bring together renowned academic scientists, researchers, and research scholars to exchange and disseminate their knowledge and research findings on all aspects of IoT and big data analytics.

Dimension: 235 x 155 (mm)
ISBN-13: 9783031338076
Edition number: 1st ed. 2023