PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data

The real-time crash likelihood prediction has been an important research topic. Various classifiers, such as support vector machine (SVM) and tree-based boosting algorithms, have been proposed in traffic safety studies. However, few research focuses on the missing data imputation in real-time crash...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ke, Jintao, Zhang, Shuaichao, Yang, Hai, Chen, Xiqun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!