Associative Rule based Fuzzy Clustering Performance and their Evaluation on Ecommerce Historical data

Abstract

The clustering technology that enables the user to manage massive amounts of data effectively, the purpose of clustering is to convert data from any source into a more compact form that correctly captures the original material.

The user should be able to manage and make better use of the original volume of data, because it would be ineffective if the compact form of the data did not precisely reflect the original data, clustering accuracy is crucial. The accuracy of a well-known fuzzy clustering technique is one of our primary contributions.

It is difficult to examine and implement association rule mining because of the sheer number of rules that are produced from the dataset. For handling association rules, a novel hybrid method called ARFC—Association Rules Fuzzy Clustering—is put forth.