%0 Conference Paper %1 10.1007/978-3-031-24801-6_36 %A Brauer, Steffen %A Fisichella, Marco %A Lax, Gianluca %A Romeo, Carlo %A Russo, Antonia %B Applied Intelligence and Informatics %C Cham %D 2022 %E Mahmud, Mufti %E Ieracitano, Cosimo %E Kaiser, M. Shamim %E Mammone, Nadia %E Morabito, Francesco Carlo %I Springer Nature Switzerland %K myown from:mfisichella %P 511--522 %T A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values %X Anomaly detection is an important task in many fields such as eHealth and online fraud. In this paper, we propose a new technique for anomaly detection based on a graph that connects transactions with the same attribute values and searches for dense clusters indicative of an anomalous pattern. The experimental evaluation shows that the graph-based approach outperforms two other approaches in the considered dataset. The extension of this approach to the eHealth domain is reserved as future work. %@ 978-3-031-24801-6

@inproceedings{10.1007/978-3-031-24801-6_36, abstract = {Anomaly detection is an important task in many fields such as eHealth and online fraud. In this paper, we propose a new technique for anomaly detection based on a graph that connects transactions with the same attribute values and searches for dense clusters indicative of an anomalous pattern. The experimental evaluation shows that the graph-based approach outperforms two other approaches in the considered dataset. The extension of this approach to the eHealth domain is reserved as future work.}, added-at = {2024-02-07T10:24:36.000+0100}, address = {Cham}, author = {Brauer, Steffen and Fisichella, Marco and Lax, Gianluca and Romeo, Carlo and Russo, Antonia}, biburl = {https://www.bibsonomy.org/bibtex/260ff0faf9b119502b50060b8217dcd16/l3s}, booktitle = {Applied Intelligence and Informatics}, description = {A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values | SpringerLink}, editor = {Mahmud, Mufti and Ieracitano, Cosimo and Kaiser, M. Shamim and Mammone, Nadia and Morabito, Francesco Carlo}, interhash = {5062dfafa5d66ee6f1a88f5541b3693b}, intrahash = {60ff0faf9b119502b50060b8217dcd16}, isbn = {978-3-031-24801-6}, keywords = {myown from:mfisichella}, pages = {511--522}, publisher = {Springer Nature Switzerland}, timestamp = {2024-02-07T10:24:36.000+0100}, title = {A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values}, year = 2022 }