A Study on Data Mining in Banking Application |
Author(s): |
| Bhuvaneswari. G , Dr.SNS RAJALAKSHMI COLLEGE OF ARTS AND SCIENCE,COIMBATORE-49.; Shanmuga Priya .N, Dr.SNS RAJALAKSHMI COLLEGE OF ARTS AND SCIENCE,COIMBATORE-49. |
Keywords: |
| Data Mining, Banking segment, Fraud recognition, Risk management, Customer Correlation management |
Abstract |
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Banking segments collect giant amount of data, it collect customer information, transaction details, risk profiles, credit card details, limit and security details, investment acquiescence and Anti Money Laundering (AML) related information, employment finance data. This information includes acknowledgment, default information, savings and unlawful financing. Patterns and knowledge can be mined from this huge dimensions of data that in revolve can be used for this decision making process. It provides an overview of data mining techniques and procedures. It also specifies how these techniques can be used in banking areas to make the decision making process easier and useful. |
Other Details |
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Paper ID: IJSRDV5I70433 Published in: Volume : 5, Issue : 7 Publication Date: 01/10/2017 Page(s): 1074-1076 |
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