Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
Flight Operations Quality Assurance Based on Clustering Analysis
Sea-Battlefield Situation Assessment Method Based on Data Mining
A Hybrid Macro-Micro Pedestrians Evacuation Model to Speed Up Simulation in Road Networks
Visual data mining for quantized, spatial data
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations
Predicting the Severity of Runway Excursions from Aviation Safety Reports
Queue Profile Estimation in Congested Urban Networks with Probe Data
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations
Detecting train reroutings with process mining
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics
Spatial Cluster Analysis of Bursting Pipes in Water Supply Networks
Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics
Track Clustering Using Fréchet Distance and Minimum Description Length
Data-Driven Performance Assessment and Process Management for Space Situational Awareness
Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records