2024
DOI: 10.11591/ijece.v14i1.pp608-616
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The role of Louvain-coloring clustering in the detection of fraud transactions

Heru Mardiansyah,
Saib Suwilo,
Erna Budhiarti Nababan
et al.

Abstract: <span lang="EN-US">Clustering is a technique in data mining capable of grouping very large amounts of data to gain new knowledge based on unsupervised learning. Clustering is capable of grouping various types of data and fields. The process that requires this technique is in the business sector, especially banking. In the transaction business process in banking, fraud is often encountered in transactions. This raises interest in clustering data fraud in transactions. An algorithm is needed in the cluster… Show more

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