Risk prediction and early warning for air traffic controllers’ unsafe acts using association rule mining and random forest

Measurement of Users’ Well-Being Through Domotic Sensors and Machine Learning Algorithms

(2020) Sara Casaccia et al.   IEEE SENSORS JOURNAL

DCE -miner: an association rule mining algorithm for multimedia based on the MapReduce framework

(2020) LI Chengyan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree

(2020) Xiaoyi Zhou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A hybrid temporal association rules mining method for traffic congestion prediction

(2019) Feng Wen et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Combining association rules mining with complex networks to monitor coupled risks

(2019) Ying Zhou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Incremental Algorithm for Association Rule Mining under Dynamic Threshold

(2019) Iyad Aqra et al.   Applied Sciences-Basel

Emotional and cognitive influences in air traffic controller tasks: An investigation using a virtual environment?

(2018) Martina Truschzinski et al.   APPLIED ERGONOMICS

Understanding teamwork errors in royal air force air traffic control

(2018) Kate Read et al.   SAFETY SCIENCE

Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition

(2018) Chuan Li et al.   ENERGY

Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts

(2017) Don Harris et al.   ERGONOMICS

Evaluation of construction projects based on the safe work behavior of co-employees through a neural network model

(2016) D.A. Patel et al.   SAFETY SCIENCE

The impact of controller support tools in enroute air traffic control on cognitive error modes: A comparative analysis in two operational environments

(2015) Sifra C. Corver et al.   SAFETY SCIENCE

Overall safety performance of Air Traffic Management system: Forecasting and monitoring

(2015) Giulio Di Gravio et al.   SAFETY SCIENCE

Ancestry Assessment Using Random Forest Modeling,,

(2014) Joseph T. Hefner et al.   JOURNAL OF FORENSIC SCIENCES

Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports

(2014) Abhishek Verma et al.   SAFETY SCIENCE