Mining in Banking and Its Applications-a

  title={Mining in Banking and Its Applications-a},
  author={Sreekumar Pulakkazhy and R. V. Siva Balan}
Banking systems collect huge amounts of data on day to day basis, be it customer information, transaction details, risk profiles, credit card details, limit and collateral details, compliance and Anti Money Laundering (AML) related information, trade finance data, SWIFT and telex messages. Thousands of decisions are taken in a bank daily. These decisions include credit decisions, default decisions, relationship start up, investment decisions, AML and Illegal financing related. One needs to… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 27 references

A review of financial accounting fraud detection based on data mining techniques

  • H. V. Shashidhar, S. Varadarajan
  • Int . J . Comput . Appli .
  • 2012

Deliberation of data mining in banking

  • A. E. Tigga
  • Int . J . Eng . Res . Techenol .
  • 2012
1 Excerpt

E - Investment banking : NextGen investment

  • I. Ionita, L. Ionita
  • 2012

A review on time series data mining

  • M. Tiwari
  • Eng . Appli . Artif . Intell .
  • 2011

An empirical study on credit scoring model for credit card by using data mining technology

  • M. P. Naeini, H. Taremian, H. B. Hashemi
  • Proceedigngs of the 7 th International Conference…
  • 2011

An investigation into data mining approaches for anti money laundering

  • P. Kumar, S. V. Nitin, D. S. Chauhan
  • Proceedings of the International Conference on…
  • 2011
1 Excerpt

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