Context-Aware Machine Learning and Mobile Data Analytics - Alan Colman

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Résumé :
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 application developers 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.

Biographie:
Iqbal H. Sarker received his Ph.D. under the department of Computer Science and Software Engineering from Swinburne University of Technology, Melbourne, Australia in 2018. Currently, he is working as a faculty member of the Department of Computer Science and Engineering at Chittagong University of Engineering and Technology. He is one of the Research Founder of the International AIQT Foundation, Switzerland. His professional and research interests include - Data Science, Machine Learning, AI-Driven Computing, Cybersecurity Intelligence, Behavioral Analytics, Context-Aware Computing and IoT-Smart City Technologies. He has over 100 publications in leading venues including Journals (Journal of Network and Computer Applications - Elsevier, USA...