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Machine Learning and Data Analytics in Pervasive Health
Methods of Information in Medicine, 2018Summary Introduction: This accompanying editorial provides a brief introduction to this focus theme, focused on “Machine Learning and Data Analytics in Pervasive Health”. Objective: The innovative use of machine learning technologies combining small and big data analytics will support a better provisioning of healthcare to citizens.
N Oliver, O Mayora, M Marschollek
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Machine Learning and Data Mining for Sports Analytics
2022This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held as virtual event in September 2021. The 12 full papers and 4 short papers presented were carefully reviewed and selected from 29 submissions.
Brefeld, Ulf +3 more
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Big Data, Predictive Analytics and Machine Learning
2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE), 2018Nowadays, data is being generated by so many devices, therefore the term big data. This paper attempts to offer a broader definition of big data that captures its defining characteristics. This paper also reinforces the need to devise new tools for predictive analytics using machine learning which is a subset of artificial intelligence in the field of ...
Pariwat Ongsulee +3 more
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Context-Aware Machine Learning and Mobile Data Analytics
2021Presents 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 discover rules. Highlights how contextual information can be used in various real-world smart and intelligent applications.
Sarker, Iqbal +3 more
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Machine Learning and Learning Analytics: Integrating Data with Learning
2018 17th International Conference on Information Technology Based Higher Education and Training (ITHET), 2018In the last years, the design, implementation and delivery of web-based education systems, such as the Learning Management Systems, has grown exponentially, thanks to the fact that neither students nor teachers are bound to a specific location. Moreover, this form of computer-based education is virtually independent of any specific hardware platform ...
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Paradigms of Machine Learning and Data Analytics
2020This chapter conducts a critical review on ML and deep learning tools and techniques in the field of heart disease related to heart disease complexity, prediction, and diagnosis. Only specific papers are selected for the study to extract useful information, which stimulated a new hypothesis to understand further investigation of the heart disease ...
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Big Data Analytics and Machine Learning
2022Francis Alex Kuzhippallil +3 more
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