Evaluation of Clustering Algorithms for Credit Card Data Set Using WEKA

  • Jismy Joseph et al.

Abstract

The wealth of data generated daily in financial sectors is growing day by day. In such a scenario data mining is an emerging research field, it can be aPp.lied to find hidden information from the data set and which can be used to analyze the credit risk. Now a days Clustering is a challenging filed of data mining and it plays a vital role in analyzing credit data set. This paper analyses the efficiency of four different clustering algorithms – Furthest First, Filtered Cluster, Density Based Cluster and Simple K-Meanson credit card data sets.

Published
2019-12-21
How to Cite
et al., J. J. (2019). Evaluation of Clustering Algorithms for Credit Card Data Set Using WEKA. International Journal of Advanced Science and Technology, 28(17), 392 - 400. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/2275