AAAI 2023technical0 citations
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages
Abstract
Given a million-scale dataset of who-calls-whom data containing imperfect labels, how can we detect existing and new fraud patterns? We propose TgrApp, which extracts carefully designed features and provides visualizations to assist analysts in spotting fraudsters and suspicious behavior. Our TgrApp method has the following properties: (a) Scalable, as it is linear on the input size; and (b) Effective, as it allows natural interaction with human analysts, and is applicable in both supervised and unsupervised settings.
BibTeX
@article{Cazzolato_Vijayakumar_Zheng_Park_Lee_Chau_Fidalgo_Lages_Traina_Faloutsos_2024, title={TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/27062}, DOI={10.1609/aaai.v37i13.27062}, abstractNote={Given a million-scale dataset of who-calls-whom data containing imperfect labels, how can we detect existing and new fraud patterns? We propose TgrApp, which extracts carefully designed features and provides visualizations to assist analysts in spotting fraudsters and suspicious behavior. Our TgrApp method has the following properties: (a) Scalable, as it is linear on the input size; and (b) Effective, as it allows natural interaction with human analysts, and is applicable in both supervised and unsupervised settings.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Cazzolato, Mirela T. and Vijayakumar, Saranya and Zheng, Xinyi and Park, Namyong and Lee, Meng-Chieh and Chau, Duen Horng and Fidalgo, Pedro and Lages, Bruno and Traina, Agma J. M. and Faloutsos, Christos}, year={2024}, month={Jul.}, pages={16410-16412} }