| 書目名稱 | Context-Aware Machine Learning and Mobile Data Analytics | | 副標題 | Automated Rule-based | | 編輯 | Iqbal Sarker,Alan Colman,Paul Watters | | 視頻video | http://file.papertrans.cn/237/236886/236886.mp4 | | 概述 | Presents a comprehensive study and highlights the usefulness of the concept of context-aware machine learning.Introduces an automated rule-based machine learning framework to effectively analyze and d | | 圖書封面 |  | | 描述 | .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-cente | | 出版日期 | Book 2021 | | 關鍵詞 | mobile data analytics; user behavior modeling; context-aware mobile computing; personalization; mac | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-88530-4 | | isbn_softcover | 978-3-030-88532-8 | | isbn_ebook | 978-3-030-88530-4 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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