Leveraging feature selection to detect potential tax fraudsters.

•Novel feature selection ranking method in the context of tax fraud detection.•Our method outperforms its competitors, achieving F-measure scores up to 76.88%.•Set of real-world datasets are used for validation.•The intrinsic interrelation between features is captured in a Graph.•New Centrality Measure and novel axiomatic description of dependency structures.