Anderberg, M. ( 1973). Cluster analysis for applications. Academic Press.
Athearn, J. L. ( 1969). Risk and Insurance (2nd ed.). New York: Appleton-Century-Crafts, Educational Division, Meredith Corporation.
Bigus, J. P. ( 1996). Data mining with neural networks : solving business problems—from application development to decision support. New York: McGraw-Hill.
Denenberg, H. S. ( 1974). Risk and insurance (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall
Han, J. & Kamber, M. ( 2001). Data mining: Concepts and techniques. Morgan Kaufmann Publishers.
MacQueen, J. ( 1967). Some methods for classification and analysis of multivariate observations. Paper presented at the Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability.
Markowitz, H. ( 1952). Portfolio selection. Journal of Finance, 7, 77–91.
Smith, K. A. ( 1999). Introduction to neural networks and data mining for business applications. Melbourne: Eruditions Publishing.
van Gelder, H. ( 1982). Planning and control in insurance. European Journal of Operational Research, 9(2), 105–113.
Yeo, A., Smith, K., Willis, R., & Brooks, M. (Accepted for publication). A Mathematical Programming Approach to Optimise Insurance Premium Pricing Within a Data Mining Framework. Journal of the Operational Research Society.