Sarker I. Context-Aware Machine Learning and Mobile Data Analytics...2021

Textbook in PDF format

This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the applicationdevelopers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.
Preface
Acknowledgements
About the Authors
Preliminaries
Introduction to Context-Aware Machine Learning and Mobile Data Analytics
Application Scenarios and Basic Structure for Context-Aware Machine Learning Framework
A Literature Review on Context-Aware Machine Learning and Mobile Data Analytics
Context-Aware Rule Learning and Management
Contextual Mobile Datasets, Pre-processing and Feature Selection
Discretization of Time-Series Behavioral Data and Rule Generation based on Temporal Context
Discovering User Behavioral Rules Based on Multi-Dimensional Contexts
Recency-Based Updating and Dynamic Management of Contextual Rules
Rule-Based Systems, Deep Learning and Challenges
Deep Learning for Contextual Mobile Data Analytics
Context-Aware Machine Learning System: Applications and Challenging Issues