A survey of outlier detection in high dimensional data streams

I Souiden, MN Omri, Z Brahmi - Computer Science Review, 2022 - Elsevier
The rapid evolution of technology has led to the generation of high dimensional data
streams in a wide range of fields, such as genomics, signal processing, and finance. The …

Urban anomaly analytics: Description, detection, and prediction

M Zhang, T Li, Y Yu, Y Li, P Hui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …

Graph convolutional adversarial networks for spatiotemporal anomaly detection

L Deng, D Lian, Z Huang, E Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic anomalies, such as traffic accidents and unexpected crowd gathering, may endanger
public safety if not handled timely. Detecting traffic anomalies in their early stage can benefit …

Detecting urban anomalies using multiple spatio-temporal data sources

H Zhang, Y Zheng, Y Yu - Proceedings of the ACM on interactive, mobile …, 2018 - dl.acm.org
Urban anomalies, such as abnormal movements of crowds and accidents, may result in loss
of life or property if not handled properly. It would be of great value for governments if …

[PDF][PDF] A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data.

M Zhang, T Li, H Shi, Y Li, P Hui - IJCAI, 2019 - helda.helsinki.fi
Urban anomalies such as the abnormal flow of crowds and traffic accidents could result in
loss of life or property if not handled properly. Detecting urban anomalies at the early stage …

Bi-READ: Bi-Residual AutoEncoder based feature enhancement for video anomaly detection

R Kommanduri, M Ghorai - Journal of Visual Communication and Image …, 2023 - Elsevier
Video anomaly detection (VAD) refers to identifying abnormal events in the surveillance
video. Typically, reconstruction based video anomaly detection techniques employ …

Modelling and forecasting customer navigation in intelligent retail environments

M Paolanti, D Liciotti, R Pietrini, A Mancini… - Journal of Intelligent & …, 2018 - Springer
Understanding shopper behaviour is one of the keys to success for retailers. In particular, it
is necessary that managers know which retail attributes are important to which shoppers and …

Anomaly Detection in Smart Environments: A Comprehensive Survey

D Fährmann, L Martín, L Sánchez, N Damer - IEEE Access, 2024 - ieeexplore.ieee.org
Anomaly detection is a critical task in ensuring the security and safety of infrastructure and
individuals in smart environments. This paper provides a comprehensive analysis of recent …

Anomalous event detection on large-scale gps data from mobile phones using hidden markov model and cloud platform

A Witayangkurn, T Horanont, Y Sekimoto… - Proceedings of the …, 2013 - dl.acm.org
Anomaly detection is an important issue in various research fields. An uncommon trajectory
or gathering of people in a specific area might correspond to a special event such as a …

A family of joint sparse PCA algorithms for anomaly localization in network data streams

R Jiang, H Fei, J Huan - IEEE Transactions on Knowledge and …, 2012 - ieeexplore.ieee.org
Determining anomalies in data streams that are collected and transformed from various
types of networks has recently attracted significant research interest. Principal component …