The evolution of Big Data in neuroscience and neurology

L Dipietro, P Gonzalez-Mego, C Ramos-Estebanez… - Journal of Big Data, 2023 - Springer
Neurological diseases are on the rise worldwide, leading to increased healthcare costs and
diminished quality of life in patients. In recent years, Big Data has started to transform the …

Sentiment analysis on massive open online course evaluations: a text mining and deep learning approach

A Onan - Computer Applications in Engineering Education, 2021 - Wiley Online Library
Massive open online courses (MOOCs) are recent innovative approaches in distance
education, which provide learning content to participants without age‐, gender‐, race‐, or …

An ensemble scheme based on language function analysis and feature engineering for text genre classification

A Onan - Journal of Information Science, 2018 - journals.sagepub.com
Text genre classification is the process of identifying functional characteristics of text
documents. The immense quantity of text documents available on the web can be properly …

Feature construction and smote-based imbalance handling for multi-label learning

NK Mishra, PK Singh - Information Sciences, 2021 - Elsevier
The class-imbalance is intrinsic in Multi-label datasets due to the higher number of labels,
few relevant labels in many instances, and a varied number of relevant instances for …

Healthcare informatics and analytics in big data

MI Pramanik, RYK Lau, MAK Azad, MS Hossain… - Expert Systems with …, 2020 - Elsevier
Healthcare informatics and analytics (HCI&A), also known as healthcare information
technology (HIT), healthcare IS (HIS), and so on, has rapidly evolved with the emerge of …

Hybrid supervised clustering based ensemble scheme for text classification

A Onan - Kybernetes, 2017 - emerald.com
Purpose The immense quantity of available unstructured text documents serve as one of the
largest source of information. Text classification can be an essential task for many purposes …

Research on predicting learning achievement in a flipped classroom based on MOOCs by big data analysis

Y Qian, CX Li, XG Zou, XB Feng… - Computer …, 2022 - Wiley Online Library
In the era of big data mining, educational data mining has become a principal research
focus, with online education mining, such as massive open online courses'(MOOC) data …

[HTML][HTML] Survey of using GPU CUDA programming model in medical image analysis

T Kalaiselvi, P Sriramakrishnan… - Informatics in Medicine …, 2017 - Elsevier
With the technology development of medical industry, processing data is expanding rapidly
and computation time also increases due to many factors like 3D, 4D treatment planning, the …

A new k-harmonic nearest neighbor classifier based on the multi-local means

Z Pan, Y Wang, W Ku - Expert Systems with Applications, 2017 - Elsevier
The k-nearest neighbor (KNN) rule is a classical and yet very effective nonparametric
technique in pattern classification, but its classification performance severely relies on the …