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Traffic outlier detection by density-based bounded local outlier factors
Jialing Tang
, Henry Y T Ngan
*
*
Corresponding author for this work
Department of Mathematics
Research output
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Contribution to journal
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Journal article
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peer-review
49
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Dive into the research topics of 'Traffic outlier detection by density-based bounded local outlier factors'. Together they form a unique fingerprint.
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Keyphrases
Abnormal Traffic
14%
Cleaning up
14%
Congestion
14%
Data Domain
14%
Density-based
100%
Density-based Outlier Detection
14%
Dimensionality Reduction
14%
Factor Method
28%
Hong Kong
14%
Local Outlier Factor
100%
Outlier Detection
100%
Principal Coordinate Analysis (PCoA)
42%
Spatial Plane
14%
Spatial Space
14%
Spatial-temporal
14%
Supervised Approach
14%
Three-dimensional (3D)
42%
Traffic Accidents
14%
Traffic Signals
14%
Traffic Situation
14%
Traffic System
14%
Traffic Video
14%
Two Dimensional
28%
Two-dimensional Domain
14%
Two-dimensional Principal Component Analysis
14%
Video Data
14%
Engineering
Component Analysis
80%
Dimensional Domain
20%
Highway Accidents
20%
Outlier Detection
100%
Principal Component
80%
Two Dimensional
80%
Computer Science
Component Analysis
57%
Data Domain
14%
Local Outlier Factor
100%
Outlier Detection
100%
Outlier Detection Method
14%
Principal Component
57%
Traffic Signal
14%
Mathematics
Dimensional Domain
14%
Method Factor
28%
Outlier
100%
Outlier Detection
100%
Outlier Detection Method
14%
Principal Component Analysis
57%
Earth and Planetary Sciences
Cleaning Up
25%
Detection Method
25%
Hong Kong
25%
Principal Component Analysis
100%
Traffic Accident
25%