AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks
Tianyi Chen, Charalampos E. Tsourakakis
2022Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining63 citationsDOI
Abstract
Benford's law describes the distribution of the first digit of numbers appearing in a wide variety of numerical data, including tax records, and election outcomes, and has been used to raise "red flags" about potential anomalies in the data such as tax evasion. In this work, we ask the following novel question:
Topics & Concepts
Benford's lawAnomaly detectionComputer scienceTax evasionVariety (cybernetics)Ask priceData scienceData miningEconometricsComputer securityArtificial intelligenceEconomicsFinanceStatisticsMathematicsPublic economicsBenford’s Law and Fraud DetectionDigital Media Forensic DetectionComputability, Logic, AI Algorithms