ANALYSIS OF CREDIT CARD FRAUD DETECTION USING ASSOCIATION RULE MINING AND CLUSTERING DATA MINING ALGORITHMS

L.Sowmya; V.Shanmugapriya

Article Information

Published In Volume 5, Issue 3 (2019)
Publication Date August 2, 2026
Manuscript ID IJCRCST-SEPTEMBER19-09
Article Type Research Paper
Pages 48 - 55
15 Views 0 Downloads

Abstract

Association rule mining, very important techniques of data mining. It aim at searching for interesting relationships in the middle of items in a large data set or database and discovers association rules among the huge no of item sets. ARM aims to analyze frequent patterns, associations or casual structures among sets of items in the transaction databases or other data repositories. Data mining can perform these various activities using its technique like clustering, classification, prediction, association learning etc. This paper aims at giving a theoretical survey on some of the existing algorithms.

Keywords

Association rule mining Apriori Item sets SVM K-Means Decision Tree

Authors

L.Sowmya

V.Shanmugapriya

How to Cite this Article

L.Sowmya, V.Shanmugapriya (2019). "ANALYSIS OF CREDIT CARD FRAUD DETECTION USING ASSOCIATION RULE MINING AND CLUSTERING DATA MINING ALGORITHMS". International Journal of Contemporary Research in Computer Science and Technology, 5(3), pp. 48-55.