A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction
With the availability of large volumes of real-time traffic flow data along with traffic accident
information, there is a renewed interest in the development of models for the real-time …
information, there is a renewed interest in the development of models for the real-time …
Image pattern recognition in big data: taxonomy and open challenges: survey
Image pattern recognition in the field of big data has gained increasing importance and
attention from researchers and practitioners in many domains of science and technology …
attention from researchers and practitioners in many domains of science and technology …
Machine learning based feature selection and knowledge reasoning for CBR system under big data
Y Guo, B Zhang, Y Sun, K Jiang, K Wu - Pattern Recognition, 2021 - Elsevier
Under big data, large number of features as well as their complex data types makes
traditional feature selection and knowledge reasoning in CBR system not adapt to new …
traditional feature selection and knowledge reasoning in CBR system not adapt to new …
Big Data in civil engineering: a state-of-the-art survey
O Kapliński, N Košeleva, G Ropaitė - Engineering Structures and …, 2016 - Taylor & Francis
Data generation has increased drastically over the past few years. Data management has
also grown in importance because extracting the significant value out of a huge pile of raw …
also grown in importance because extracting the significant value out of a huge pile of raw …
Polygonal Coordinate System: Visualizing high-dimensional data using geometric DR, and a deterministic version of t-SNE
Dimensionality Reduction (DR) is useful to understand high-dimensional data. It attracts
wide attention from industry and academia and is employed in areas such as machine …
wide attention from industry and academia and is employed in areas such as machine …
Using the interval Type-2 fuzzy inference systems to compare the impact of speed and space perception on the occurrence of road traffic accidents
A constantly increasing number of deaths on roads forces analysts to search for models that
predict the driver's propensity for road traffic accidents (RTAs). This paper aims to examine a …
predict the driver's propensity for road traffic accidents (RTAs). This paper aims to examine a …
Depression and anxiety detection through the Closed-Loop method using DASS-21
The change of information and communication technology has brought many changes in
daily life. The way humans interacting is changing. It is possible to express each form of …
daily life. The way humans interacting is changing. It is possible to express each form of …
A review on real-time big data analysis in remote sensing applications
MK Pektürk, M Ünal - 2017 25th Signal Processing and …, 2017 - ieeexplore.ieee.org
Thanks to the new technologies of remote sensors, remote sensor data which increases in
size exponentially and transforms to big data with increasing spatial and spectral resolutions …
size exponentially and transforms to big data with increasing spatial and spectral resolutions …
3FS-CBR-IRF: improving case retrieval for case-based reasoning with three feature selection and improved random forest
Case-based reasoning (CBR) is widely used in medical decision support systems because
of its similarity to human reasoning. Despite the effectiveness of the latter, its performance …
of its similarity to human reasoning. Despite the effectiveness of the latter, its performance …
Multiscale satellite image classification using deep learning approach
Image classification has been acquiring special importance in the practical applications of
remote sensing. This is done with the extraordinary rise of spatial and spectral resolution of …
remote sensing. This is done with the extraordinary rise of spatial and spectral resolution of …