Applying customer loyalty classification with RFM and Naïve Bayes for better decision making

I Ranggadara, G Wang… - … International Seminar on …, 2019 - ieeexplore.ieee.org
The problem faced by the e-commerce industry in determining customer loyalty is that it is
very difficult to be classified into the form of promotions every year to customers who are …

Finding Customer Loyalty Based on Weighted RFMD Clustering Model

A Seetha, U Thakar - 5th International Conference on Next …, 2020 - papers.ssrn.com
Customer loyalty is an important aspect of customer relationship management. An
organization needs to analyze customer loyalty in order to understand and retain their …

[PDF][PDF] A methodology based on RFM using data mining approach to assess the customer loyalty

SM Seyedhosseini, MR Gholamian… - International Journal of …, 2011 - academia.edu
This study has proposed a new procedure, based on expanded RFM model, determining
weight of parameters with pair-wise comparison matrix, clustering the products with K …

[HTML][HTML] Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study

WN Wassouf, R Alkhatib, K Salloum, S Balloul - Journal of Big Data, 2020 - Springer
Given the growing importance of customer behavior in the business market nowadays,
telecom operators focus not only on customer profitability to increase market share but also …

Implementation of Dynamic Mutual Information and Support Vector Machine for Customer Loyalty Classification

H Sulistiani, K Muludi, A Syarif - Journal of Physics: Conference …, 2019 - iopscience.iop.org
Abstract Fast Moving Consumer Goods (FMCG) is known one of the important industrial
sectors worldwide. It includes household and personal care products as well as processed …

Comparative analysis of feature selection method to predict customer loyalty

H Sulistiani, A Tjahyanto - IPTEK the Journal of Engineering, 2017 - iptek.its.ac.id
Abstract The growth of Fast Moving Consumer Goods (FMCG) industry is still showing
double-digit and Indonesia becomes a potential market for the products FMCG, so that the …

Classification of potential customers using C4. 5 and k-means algorithms to determine customer service priorities to maintain loyalty

NH Syani, A Amirullah, MB Saputro… - Journal of Soft …, 2022 - shmpublisher.com
The increasing competition among Middle-Class Micro Enterprises (MSMEs) is a problem
because business actors must improve techniques and strategies to maintain customer …

Comparative analysis of accuracy and prediction of customer loyalty in the telecom industry using novel diverse algorithm

PSS Surya, K Anitha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The goal of this project is to see how well a different algorithm can predict customer loyalty in
the telecom industry. The customer information dataset used to train and test the proposed …

Use of data mining for prediction of customer loyalty

A Wijaya, AS Girsang - CommIT (Communication and Information …, 2016 - journal.binus.ac.id
This article discusses the analysis of customer loyalty using three data mining methods: C4.
5, Naive Bayes, and Nearest Neighbor Algorithms and real-world empirical data. The data …

Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty

SMS Hosseini, A Maleki, MR Gholamian - Expert Systems with Applications, 2010 - Elsevier
Data mining (DM) methodology has a tremendous contribution for researchers to extract the
hidden knowledge and information which have been inherited in the data used by …