A review on prediction of diabetes using machine learning and data mining classification techniques
Machine learning (ML) and data mining (DM) techniques have grown in popularity among
researchers and scientists in various fields. The healthcare industry could not be an …
researchers and scientists in various fields. The healthcare industry could not be an …
Three-way decision in machine learning tasks: a systematic review
In this article, we survey the applications of Three-way decision theory (TWD) in machine
learning (ML), focusing in particular on four tasks: weakly supervised learning and multi …
learning (ML), focusing in particular on four tasks: weakly supervised learning and multi …
A hybrid machine learning model for short-term estimated time of arrival prediction in terminal manoeuvring area
Z Wang, M Liang, D Delahaye - Transportation Research Part C: Emerging …, 2018 - Elsevier
Abstract 4D trajectory prediction is the core element of future air transportation system, which
is intended to improve the operational ability and the predictability of air traffic. In this paper …
is intended to improve the operational ability and the predictability of air traffic. In this paper …
The state‐of‐the‐art in predictive visual analytics
Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …
modeling, machine learning, and data mining and is applied in business intelligence, public …
A study on using data clustering for feature extraction to improve the quality of classification
There is a certain belief among data science researchers and enthusiasts alike that
clustering can be used to improve classification quality. Insofar as this belief is fairly …
clustering can be used to improve classification quality. Insofar as this belief is fairly …
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Due to the high effectiveness of cancer screening and therapies, the diagnosis of second
primary cancers (SPCs) has increased in women with breast cancer. The present study was …
primary cancers (SPCs) has increased in women with breast cancer. The present study was …
[HTML][HTML] Data-powered positive deviance: Combining traditional and non-traditional data to identify and characterise development-related outperformers
The positive deviance approach in international development scales practices and
strategies of positively-deviant individuals and groups: those who are able to achieve …
strategies of positively-deviant individuals and groups: those who are able to achieve …
Pan-cancer prediction of cell-line drug sensitivity using network-based methods
The development of reliable predictive models for individual cancer cell lines to identify an
optimal cancer drug is a crucial step to accelerate personalized medicine, but vast …
optimal cancer drug is a crucial step to accelerate personalized medicine, but vast …