An ensemble prediction model for train delays
Investigation of work zone crash casualty patterns using association rules
Analysis of Fire-Accident Factors Using Big-Data Analysis Method for Construction Areas
Analysis of Fire-Accident Factors Using Big-Data Analysis Method for Construction Areas
Construction accident narrative classification: An evaluation of text mining techniques
Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios
MCAGCN: Multi‐component attention graph convolutional neural network for road travel time prediction
Understanding the usage of dockless bike sharing in Singapore
Using visual analytics to make sense of railway Close Calls
Behavioural data mining of transit smart card data: A data fusion approach
BIM-based Data Mining Method considering Data Integration and Function Extension
BIM-based Data Mining Method considering Data Integration and Function Extension
The determinants of car ownership in England and Wales from anonymous 2001 census data
Measuring the impact of opening the London shared bicycle scheme to casual users
Mining missing train logs from Smart Card data
Decision tree analysis of construction fall accidents involving roofers
Innovative applications of big data in the railway industry
Innovative applications of big data in the railway industry
Predicting real-time surge pricing of ride-sourcing companies
Exploring the relationship between bike-sharing and public transport in Poznań, Poland
Time series analysis methods and applications for flight data
From compound word to metropolitan station: Semantic similarity analysis using smart card data
An evaluation framework for traffic information systems based on data streams
Sequence‐to‐sequence transfer transformer network for automatic flight plan generation
Understanding the bike sharing travel demand and cycle lane network: The case of Shanghai
Origin–destination trips by purpose and time of day inferred from mobile phone data
A knowledge discovery cycle for monitoring mobile cyber-physical systems
A knowledge discovery cycle for monitoring mobile cyber-physical systems
Predicting future locations of moving objects with deep fuzzy-LSTM networks
Inferring trip purpose by clustering sequences of smart card records
Association rule learning to improve deficiency inspection in port state control
Using data mining techniques to predict the severity of bicycle crashes
The Data Economy : Implications from Singapore
A ticket to ride: Evolving landscapes of air travel accessibility in the United States
Review of design optimization methods for turbomachinery aerodynamics
A new model for efficiency evaluation of a bus fleet by window analysis in DEA and data mining