Context Aware Machine Learning and Mobile Data Analytics is popular PDF and ePub book, written by Iqbal Sarker in 2022-01-01, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Context Aware Machine Learning and Mobile Data Analytics can be Read Online from any device for your convenience.
Context Aware Machine Learning and Mobile Data Analytics Book PDF Summary
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.
Detail Book of Context Aware Machine Learning and Mobile Data Analytics PDF
- Author : Iqbal Sarker
- Release : 01 January 2022
- Publisher : Springer Nature
- ISBN : 9783030885304
- Genre : Computers
- Total Page : 164 pages
- Language : English
- PDF File Size : 20,7 Mb
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