Results 251 to 260 of about 68,798 (306)

A worldwide synthesis of handball research: regional identities, performance themes, and emerging scientific directions. [PDF]

Front Sports Act Living
Filó CI.
europepmc   +1 more source

A fractional differential equation model for student learning dynamics using anonymized learning analytics data. [PDF]

Front Psychol
Wang K, Zou T.
europepmc   +1 more source

Al and Machine Learning in Data Analytics

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Machine learning for Big Data analytics in plants

Trends in Plant Science, 2014
Rapid advances in high-throughput genomic technology have enabled biology to enter the era of 'Big Data' (large datasets). The plant science community not only needs to build its own Big-Data-compatible parallel computing and data management infrastructures, but also to seek novel analytical paradigms to extract information from the overwhelming ...
Chuang, Ma, Hao Helen, Zhang, Xiangfeng, Wang   +2 more
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Machine Learning and Data Analytics in Pervasive Health

Methods of Information in Medicine, 2018
Summary 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
openaire   +3 more sources

Scalable Data Analytics and Machine Learning on the Cloud

2021
In recent years, cloud computing has become an alternative to on-premise solutions for enterprises to host their IT-stack. The main idea behind cloud computing is to offer remote, bundled IT resources, especially data storage and computing power, without the need for active management by the user.
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Data Mining and Analytics in the Process Industry: The Role of Machine Learning

IEEE Access, 2017
Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several decades. As a computational engine to data mining and analytics, machine learning serves as basic tools for information extraction, data pattern recognition and predictions.
Zhiqiang Ge, Biao Huang, Zhiqiang Ge
exaly   +4 more sources

Machine Learning and Learning Analytics: Integrating Data with Learning

2018 17th International Conference on Information Technology Based Higher Education and Training (ITHET), 2018
In 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 ...
openaire   +2 more sources

Machine Learning for Health Data Analytics

2020
At present, public health and population health are the key areas of major concern, and the current study highlights the significant challenges through a few case studies of application of machine learning for health data with focus on regression. Four types of machine learning methods found to be significant are supervised learning, unsupervised ...
Muralikrishna Iyyanki, Prisilla Jayanthi, Valli Manickam   +2 more
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Advances and opportunities in machine learning for process data analytics

Computers and Chemical Engineering, 2019
Abstract In this paper we introduce the current thrust of development in machine learning and artificial intelligence, fueled by advances in statistical learning theory over the last 20 years and commercial successes by leading big data companies.
Si-Zhao Joe Qin, Leo Chiang
exaly   +3 more sources