1. Anderberg, M.R.: Cluster Analysis for Applications. Monographs and Textbooks on Probability and Mathematical Statistics (1973)
2. Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. (CSUR) 41(3), 15 (2009)
3. Dolnicar, S.: The use of neural networks in marketing: market segmentation with self organising feature maps. Proc WSOM 97, 4–6 (1997)
4. González, P.C., Velásquez, J.D.: Characterization and detection of taxpayers with false invoices using data mining techniques. Expert Syst. Appl. 40(5), 1427–1436 (2013)
5. Gupta, M., Nagadevara, V.: Audit selection strategy for improving tax compliance: application of data mining techniques. In: Foundations of Risk-Based Audits. Proceedings of the eleventh International Conference on e-Governance, Hyderabad, India, December, pp. 28–30 (2007)