Effectiveness of Data mining in Banking Industry: An empirical study
Abstract
Keywords
Full Text:
PDFReferences
Aburrous, M. R., Hossain, A., Dahal, K., & Thabatah, F. (2009, September). Modelling intelligent phishing detection system for e-banking using fuzzy data mining. In CyberWorlds, 2009. CW'09. International Conference on (pp. 265-272). IEEE.
Aburrous, M., Hossain, M. A., Dahal, K., & Thabtah, F. (2010). Intelligent phishing detection system for e-banking using fuzzy data mining. Expert systems with applications, 37(12), 7913-7921.
Bhambri, V. (2011). Application of data mining in banking sector. IJCST, 2(2), 199-202.
Bhasin, M. L. (2006). Data mining: A competitive tool in the banking and retail industries. The Chartered Accountant, 588-594.
Bhattacharyya, S. (2000, August). Evolutionary algorithms in data mining: Multi-objective performance modeling for direct marketing. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 465-473). ACM.
Chun, S. H., & Kim, S. H. (2004). Data mining for financial prediction and trading: application to single and multiple markets. Expert Systems with Applications, 26(2), 131-139.
Dass, R. (2006). Data mining in banking and finance: A note for bankers. Indian Institute of Management Ahmadabad.
Elkan, C. (2001, August). Magical thinking in data mining: lessons from CoIL challenge 2000. In Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 426-431). ACM.
Geng, L., & Hamilton, H. J. (2006). Interestingness measures for data mining: A survey. ACM Computing Surveys (CSUR), 38(3), 9.
He, J., Zhang, Y., Shi, Y., & Huang, G. (2010). Domain-driven classification based on multiple criteria and multiple constraint-level programming for intelligent credit scoring. IEEE Transactions on Knowledge and Data Engineering, 22(6), 826-838.
Hormozi, A. M., & Giles, S. (2004). Data mining: A competitive weapon for banking and retail industries. Information systems management, 21(2), 62-71.
Iqbal, N. & Islam, M. (2016).From Big Data to Big Hope: An outlook on recent trends and challenges. Journal of Applied Computing, 1(1):1-12.
Scott, R. I., Svinterikou, S., Tjortjis, C., & Keane, J. A. (1998). Experiences of using Data Mining in a Banking Application. In Proc. 2nd WSES/IEEE/IMACS-Int'l Conf. Circuits, Systems Computers ((IMACS CSC'98), 1998, pp. 343-346. doi: 10.1. 1.55. 2093.
Sharma, A., & Panigrahi, P. K. (2013). A review of financial accounting fraud detection based on data mining techniques. arXiv preprint arXiv:1309.3944.
Sudhakar, M., & Reddy, C. V. K. (2014). Application Areas of Data Mining in Indian Retail Banking Sector. Global Journal of Computer Science and Technology, 14(5-C), 11.
Sundari, P., & Thangadurai, K. (2010). An empirical study on data mining applications. Global Journal of Computer Science and Technology, 10(5).
DOI: https://doi.org/10.26483/ijarcs.v8i5.3441
Refbacks
- There are currently no refbacks.
Copyright (c) 2017 International Journal of Advanced Research in Computer Science

