New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling

This book explores the importance of tools and techniques used in machine learning, big data mining, and IoT, and how they can be used to transform the Internet. It provides valuable information for professionals and researchers working in business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis, and highlights the most debated aspects in the field.

Format: Paperback / softback
Length: 344 pages
Publication date: 24 February 2022
Publisher: Apple Academic Press Inc.

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, delves into the significance of tools and techniques employed in machine learning, big data mining, and other domains. It elucidates how advancements in the web have been achieved and how user experiences can be analyzed. The book examines data gathering through various electronic means and explores techniques for analysis and management, including handling voluminous data, user responses, and more.

This volume offers a wealth of valuable insights for professionals and researchers engaged in business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Furthermore, the book provides insights and support from practitioners and academia to highlight the most debated aspects in the field.

The book is organized into five chapters, each covering a different aspect of New Age Analytics. Chapter 1 provides an introduction to the topic, highlighting its importance and potential applications. Chapter 2 explores machine learning techniques, including supervised and unsupervised learning, and their applications in various domains. Chapter 3 discusses big data mining, including data preprocessing, data analysis, and visualization techniques. Chapter 4 explores IoT and its role in transforming the Internet, including its architecture, protocols, and applications. Chapter 5 discusses trust modeling and its importance in building trust between users and systems.

Throughout the book, real-world examples and case studies are used to illustrate the practical applications of the discussed techniques. These examples help to demonstrate the effectiveness of the proposed solutions and provide a deeper understanding of the challenges and opportunities in the field.

In conclusion, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling is a valuable resource for professionals and researchers seeking to stay up-to-date with the latest advancements in the field. It provides a comprehensive and practical guide to the tools and techniques used in machine learning, big data mining, and IoT, and offers insights and support from practitioners and academia. Whether you are a seasoned professional or just starting in the field, this book will help you gain a deeper understanding of the opportunities and challenges in New Age Analytics.

Weight: 598g
Dimension: 155 x 234 x 24 (mm)
ISBN-13: 9781774634998