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Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-Based Services with Intelligent Decision-Making
Hardcover
DatabasesGeneral ComputersProgramming
ISBN13: 9783030885298
Publisher: Springer Nature
Published: Dec 2 2021
Pages: 157
Weight: 0.94
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English
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.
1 different editions
Also available
Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-Based Services with Intelligent Decision-Making
Sarker, Iqbal
Colman, Alan
Han, Jun
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Also from
Sarker, Iqbal
Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-Based Services with Intelligent Decision-Making
Sarker, Iqbal
Colman, Alan
Han, Jun
Paperback
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