Context-Aware Machine Learning and Mobile Data Analytics
Autor: | Colman, Alan Han, Jun Sarker, Iqbal Watters, Paul |
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EAN: | 9783030885328 |
Auflage: | 001 |
Sachgruppe: | Informatik, EDV |
Sprache: | Englisch |
Seitenzahl: | 176 |
Produktart: | Kartoniert / Broschiert |
Veröffentlichungsdatum: | 03.12.2022 |
Untertitel: | Automated Rule-based Services with Intelligent Decision-Making |
Schlagworte: | App-Programmierung, Programmierung für Mobil-Geräte Data Mining Maschinelles Lernen Mobiledataanalytics; userbehaviormodeling; context-awaremobilecomputing; personalization; machinelearning; time-seriesmodeling; rulediscovery; RuleManagement; associationrules; rule-basedsystem |
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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.