PANG: Pattern-Based Anomaly Detection in Graphs
Résumé
Pang (Pattern-Based Anomaly Detection in Graphs) is an algorithm which represents and classifies a collection of graphs according to their frequent patterns (subgraphs). The detail of this algorithm are described in the below article. This work was conducted in the framework of the DeCoMaP ANR project (Detection of corruption in public procurement markets -- ANR-19-CE38-0004).
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Cite hal-04131485 Objet présenté à une conférence Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron. Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023 (ECML PKDD), Sep 2023, Torino, Italy. ⟨10.1007/978-3-031-43427-3_5⟩. ⟨hal-04131485⟩