Context-Aware Machine Learning and Mobile Data Analytics - Automated Rule-based Services with Intelligent Decision-Making (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	December 2022
First published:	2021
Authors:	Iqbal Sarker • Alan Colman • Jun Han • Paul Watters
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	157
Edition:	1st ed. 2021
ISBN-13:	978-3-03-088532-8
Categories:	Books > Computing & IT > Computer hardware & operating systems > Handheld devices (eg Palm, PocketPC) Books > Computing & IT > Computer programming > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-088532-1
Barcode:	9783030885328

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