1. 1. Pulakkazhy, Sreekumar, and R. V. S. Balan. "Data mining in banking and its applications-a review." Journal of computer science 9.10 (2013): 1252.
   2. Chitra, K., and B. Subashini. "Data Mining Techniques and its Applications in Banking Sector." International Journal of Emerging Technology and Advanced Engineering 3.8 (2013): 219-226.
   3. Zurada, Jozef, and Martin Zurada. "How Secure Are “Good Loans”: Validating Loan-Granting Decisions And Predicting Default Rates On Consumer Loans."Review of Business Information Systems (RBIS) 6.3 (2011): 65-84.
   4.  Strahan, Philip E. "Borrower risk and the price and nonprice terms of bank loans." FRB of New York Staff Report 90 (1999). [5] Tomar, Divya, and Sonali Agarwal. "A survey on Data Mining approaches for Healthcare." International Journal of Bio-Science and Bio-Technology 5.5 (2013): 241-266.
   5. Tomar, Divya, and Sonali Agarwal. "A survey on Data Mining approaches for Healthcare." International Journal of Bio-Science and Bio-Technology 5.5 (2013): 241-266.
   6. Sharma, Poonam, and Gudla Balakrishna. "PrefixSpan: Mining Sequential Patterns by PrefixProjected Pattern." International Journal of Computer Science and Engineering Survey 2.4 (2011): 111.
   7. O'guinn, Thomas.” Advertising and Integrated Brand Promotion”. Oxford Oxfordshire: Oxford University Press. p. 625. ISBN 978-0-324-56862-2. , 2008.
   8. Ou, C., Liu, C., Huang, J. and Zhong, N. „One Data mining for direct marketing‟, Springer-Verlag Berlin Heidelberg, pp. 491–498., 2003.
   9. Petrison, L. A., Blattberg, R. C. and Wang, P. „Database marketing: Past present, and future‟, Journal of Direct Marketing, 11, 4, 109–125, 1997.
   10. T. Munkata, “Fundamentals of new artificial intelligence,” 2nd edition, London, Springer-Verlag, 2008.