Context-Aware Machine Learning and Mobile Data Analytics : Automated Rule-based Services with Intelligent Decision-Making Hardback
by Iqbal Sarker, Alan Colman, Jun Han, Paul Watters
Hardback
Description
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.
Information
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Out of stock
- Format:Hardback
- Pages:157 pages, 31 Illustrations, color; 10 Illustrations, black and white; XVI, 157 p. 41 illus., 31 ill
- Publisher:Springer Nature Switzerland AG
- Publication Date:02/12/2021
- Category:
- ISBN:9783030885298
Other Formats
- Paperback / softback from £116.75
Information
-
Out of stock
- Format:Hardback
- Pages:157 pages, 31 Illustrations, color; 10 Illustrations, black and white; XVI, 157 p. 41 illus., 31 ill
- Publisher:Springer Nature Switzerland AG
- Publication Date:02/12/2021
- Category:
- ISBN:9783030885298
