Data mining (DM) is the process of extracting knowledge from data. Knowledge from
customer behaviour segmentation is useful for companies in setting the target market and …

Determining customer satisfaction elements in retailing after-sales services have been well
explored; however, the increasing competition in this area demands the investigation of …

Due to recent supply disruptions, there has been a rapid increase in panic buying. This
study considers a wholesaler selling two brands of a product with multiple weights and …

This study focuses on profiling profitable hotel customers by RFM analysis, which is a data
mining technique. In RFM analysis, Recency, Frequency and Monetary indicators are …

This article introduces a new dimension, Interpurchase Time (T), into the existing RFM
(Recency, Frequency, and Monetary) model to form an expanded RFMT model for parsing …

Intisari–Persaingan yang ketat di bidang bisnis memotivasi sebuah usaha kecil dan
menengah (UKM) untuk mengelola pelayanan terhadap konsumen tetap (pelanggan) …

With the increase of living standards and the sustainable changing patterns of people's lives,
nowadays, hairdressing services have been widely used by people. This paper adopts data …

Purpose This paper aims to provide a predictive framework of customer churn through six
stages for accurate prediction and preventing customer churn in the field of business …

The Internet banking customers has growth very fast. Customer segmentation can be
applied based on Internet banking data. Clustering is unsupervised data mining technique …

Social scientists and data analysts are increasingly making use of Big Data in their analyses.
These data sets are often “found data” arising from purely observational sources rather than …