Graph based anomaly detection and description: a survey
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
[PDF][PDF] Graph based Anomaly Detection and Description: A Survey
L Akoglu, H Tong, D Koutra - core.ac.uk
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
[PDF][PDF] Graph-based Anomaly Detection and Description: A Survey
L Akoglu, H Tong, D Koutra - arXiv preprint arXiv:1404.4679, 2014 - academia.edu
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
[PDF][PDF] Graph-based Anomaly Detection and Description: A Survey
L Akoglu, H Tong, D Koutra - arXiv preprint arXiv:1404.4679, 2014 - Citeseer
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
[PDF][PDF] Graph based Anomaly Detection and Description: A Survey
L Akoglu, H Tong, D Koutra - itlab.uta.edu
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
[PDF][PDF] Graph based Anomaly Detection and Description: A Survey
L Akoglu, H Tong, D Koutra - gemslab.github.io
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
[PDF][PDF] Graph based Anomaly Detection and Description: A Survey
L Akoglu, H Tong, D Koutra - andrew.cmu.edu
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
Graph-based Anomaly Detection and Description: A Survey
L Akoglu, H Tong, D Koutra - arXiv preprint arXiv:1404.4679, 2014 - arxiv.org
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
Graph based anomaly detection and description: A survey
L Akoglu, H Tong, D Koutra - Data Mining and Knowledge …, 2015 - experts.illinois.edu
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
Graph based anomaly detection and description: a survey
L Akoglu, H Tong, D Koutra - Data Mining and Knowledge Discovery, 2015 - dl.acm.org
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …