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派博传思国际中心 »期刊书目

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Titlebook: Context-Aware Machine Learning and Mobile Data Analytics; Automated Rule-based Iqbal Sarker,Alan Colman,Paul Watters Book 2021 The Editor(s

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发表于 2025-3-21 17:53:26 | 显示全部楼层 |阅读模式
书目名称Context-Aware Machine Learning and Mobile Data Analytics
副标题Automated Rule-based
编辑Iqbal Sarker,Alan Colman,Paul Watters
视频videohttp://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
图书封面Titlebook: Context-Aware Machine Learning and Mobile Data Analytics; Automated Rule-based Iqbal Sarker,Alan Colman,Paul Watters Book 2021 The Editor(s
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
关键词mobile data analytics; user behavior modeling; context-aware mobile computing; personalization; mac
版次1
doihttps://doi.org/10.1007/978-3-030-88530-4
isbn_softcover978-3-030-88532-8
isbn_ebook978-3-030-88530-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 22:29:00 | 显示全部楼层
Context-Aware Machine Learning and Mobile Data Analytics978-3-030-88530-4
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发表于 2025-3-22 01:21:00 | 显示全部楼层
Introduction to Context-Aware Machine Learning and Mobile Data Analyticsre many, but not limited to personalized assistance services, recommendation systems, human-centric computing, adaptive and intelligent systems, IoT services, smart cities as well as mobile privacy and security systems. Thus a study on context-aware machine learning modeling utilizing users’ mobile
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发表于 2025-3-22 06:26:23 | 显示全部楼层
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发表于 2025-3-22 09:28:08 | 显示全部楼层
Powen Yao,Zhankai Ye,Michael Zydare many, but not limited to personalized assistance services, recommendation systems, human-centric computing, adaptive and intelligent systems, IoT services, smart cities as well as mobile privacy and security systems. Thus a study on context-aware machine learning modeling utilizing users’ mobile
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发表于 2025-3-22 14:30:14 | 显示全部楼层
Nikolaos Karagiannis,Debbie A. Mohammedctive rule-based machine learning method that minimizes the issue and generates a set of non-redundant behavioral rules by taking into account the precedence of relevant contexts. Finally, the effectiveness of the technique presented in this chapter, has been provided through experimental results.
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发表于 2025-3-22 19:34:00 | 显示全部楼层
icationdevelopers 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-cente978-3-030-88532-8978-3-030-88530-4
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发表于 2025-3-22 22:43:49 | 显示全部楼层
Book 2021 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
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发表于 2025-3-23 05:26:09 | 显示全部楼层
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