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Approach for Labeling the Class of Credit card Customers via Clustering Method in Data Mining

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Author(s): Mizanur Rahman | Sujit Kumar Mondal

Journal: International Journal of Advanced Research in Computer Science
ISSN 0976-5697

Volume: 04;
Issue: 09;
Start page: 205;
Date: 2013;
Original page

Keywords: Data | mining | clustering | k-means | credit | card

ABSTRACT
Data mining or knowledge discovery is the process of discovering hidden patterns in large data sets. Clustering is one of the techniques of data mining. Credit cards are growing as a popular medium of transaction which is flexible, secure and much safer from theft than travel with cash and also a promising area for buying and sales. In this paper, most well-kwon clustering technique k-means is used to classify the real life data of credit card customer in Bangladesh. The goal of this research is to avoid default customer and find criteria of profitable and long lasting customer for credit card. To understand criteria of profitable customer, output of clustering is used to find valuable pattern.
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