Current Trends in Science and Technology

an Open Access Publication ISSN: 0976-9730 | 0976-9498

Engineering and Technology

Predictive Analytics Application in Banking Sector using Mining Technique Algorithms

Shahina Farheen,Manika Manerkar, Trupti Payal, Prof. Dr.k. Vikram
1234Department of Computer, G.H.Raisoni College of Engineering and Management, Wagholi, Pune. Email Id:,,,
Online First: November 21, 2017
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Nowadays, there are many risks related to bank loans, health loan, car loan, for the bank and for those who get the loans. The analysis of risk in bank loans need understanding what is the meaning of risk. In addition, the number of transactions in banking sector is rapidly growing and huge data volumes are available which represent the customer’s behavior and the risks around loan are increased. Data Mining is one of the most motivating and vital area of research with the aim of extracting information from tremendous amount of accumulated data sets. In this paper a new model for classifying loan in banking sector by using data mining. The model has been built using data from banking sector to predict the status of loans particular user if they want. Here we find out the interested user who is want the service form the banking only those user meet them and discuss them without wasting time, money, man power.

Keyword : Data Mining, Banking, Default Detection, Customer Classification

Nov 21, 2017
Nov 21, 2017
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