Fast POI anomaly detection using a weakly-supervised temporal state regression network

Fast POI anomaly detection using a weakly-supervised temporal state regression network

Abstract Point-of-interest (POI) is a fundamental data type of maps. Anomalous POIs would make maps outdated and lead to user-unfriendly location-based services, and thus should be discovered as fast as possible. Traditional POI anomaly detection methods are inefficient owing to high investigation c...

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Bibliographic Details
Main Author: Xin Yao
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Computational Urban Science
Subjects:
POI
Anomaly detection
Human activity
Time series
Weakly-supervised learning
Online Access:https://doi.org/10.1007/s43762-024-00151-z
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https://doi.org/10.1007/s43762-024-00151-z

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