Trajectory Outlier Detection Algorithm Based on Bi-LSTM Model

Trajectory Outlier Detection Algorithm Based on Bi-LSTM Model

The rapid advances in positioning technology have created huge spatio-temporal trajectory data, and there are always obvious aberrant outliers in trajectory data. Detecting outliers in the trajectory is critical to improving data quality and the accuracy of subsequent trajectory data mining tasks. I...

Full description

Bibliographic Details
Main Authors: HAN Zhaorong, HUANG Tinglei, REN Wenjuan, XU Guangluan
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2019-02-01
Series:Leida xuebao
Subjects:
Trajectory data
Outlier detection
Feature extraction
Bidirectional Long Short-Term Memory (Bi-LSTM) networks
Online Access:http://radars.ie.ac.cn/article/doi/10.12000/JR18039?viewType=HTML

Internet

http://radars.ie.ac.cn/article/doi/10.12000/JR18039?viewType=HTML

Similar Items