Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making

This book provides a comprehensive study on context-aware machine learning, exploring multi-dimensional contexts, contextual rule discovery, and predictive analytics for data-driven intelligent decision-making. It offers techniques for real-world applications in areas such as personalized mobile services, security intelligence, and IoT and mobile applications, with high interpretability and automation for rule discovery.

Format: Paperback / softback
Length: 157 pages
Publication date: 03 December 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of context-aware machine learning, providing a clear understanding of this concept within the broader field of data science and analytics. With a focus on data-driven intelligent decision-making, it offers a thorough exploration of multi-dimensional contexts in machine learning modeling, contextual rule discovery, predictive analytics, recent-pattern or rule-based behavior modeling, and their applications in various context-aware intelligent applications and services. The presented machine learning-based techniques have wide-ranging real-world applications, spanning from personalized mobile services to security intelligence. The book's emphasis on interpretability and the automation of rule discovery from contextual raw data makes it particularly valuable for application developers and researchers alike. Overall, this book serves as a valuable reference for academia and industry professionals in data science, machine learning, AI-driven computing, human-centered computing, personalization, behavioral analytics, IoT, and mobile applications, as well as cybersecurity intelligence.

Weight: 279g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030885328
Edition number: 1st ed. 2021