English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Customer segmentation is one of the important issues in Customer Relationship Management (CRM). This paper demonstrated the fusion of ART 2 algorithm and RFM (Recency, Frequency, and Monetary) model to cluster the customers in Retail Company. Each cluster is validated by searching the overall average value of silhouette index. In this paper used 17.999 rows of data transaction then was modeled into RFM model and become 499 rows of RFM data. Experiments were done by forming 2 to 6 clusters by changing the value of vigilance parameter (ρ) and noise suppression (θ). In this paper, all clusters formed have overall average Silhouette index value more than 0, especially for 2, 3, 4 clusters formed have overall average Silhouette index value close to 1, indicates most of the silhouette value in all clusters were formed have a positive value or above zero, its means ART 2 clustering algorithm which produces two to six clusters have been able clustering well. General Terms CRM, Data Mining, Clustering

Combination of Adaptive Resonance Theory 2 and RFM Model for Customer Segmentation in Retail Company