Determination of Customer Satisfaction using Improved K-means algorithm

H Zare, S Emadi - Soft Computing, 2020 - Springer
Effective management of customer's knowledge leads to efficient Customer Relationship
Management (CRM). To accurately predict customer's behaviour, clustering, especially K …

[PDF][PDF] Mining profitability of telecommunication custormers using k-means clustering

HI Arumawadu, RM Rathnayaka, SK Illangarathne - 2015 - repository.rjt.ac.lk
Data mining is the powerful technique, which can be widely used for discovering the
customers' behaviors as well as customer's preferences. As a result, it has been widely used …

[HTML][HTML] Research and application of improved clustering algorithm in retail customer classification

C Fang, H Liu - Symmetry, 2021 - mdpi.com
Clustering is a major field in data mining, which is also an important method of data partition
or grouping. Clustering has now been applied in various ways to commerce, market …

[PDF][PDF] Improving customer clustering by optimal selection of cluster centroids in k-means and k-medoids algorithms

S Mousavi, FZ Boroujeni, S Aryanmehr - Journal of Theoretical and Applied …, 2020 - jatit.org
Clustering technique is one of the most important tools for knowledge discovery, during
which the samples are divided into categories whose members are similar to each other …

E-Commerce Customer Segmentation Using K-Means Algorithm and Length, Recency, Frequency, Monetary Model

R Siagian, PSP Sirait, A Halima - Journal Of Informatics and …, 2021 - ojs.uma.ac.id
The growth of the e-commerce business sector presents competitors and creates company
competition. Customers are the company's main asset that must be maintained …

[PDF][PDF] Customer behaviour segmentation among mobile service providers in kenya using k-means algorithm

KM Manero, R Rimiru, C Otieno - International Journal of Computer …, 2018 - academia.edu
In today's competitive environment, operators are investing in understanding their customers
better, especially their most profitable customer groups and the groups that have the biggest …

Customer segmentation using machine learning

M Rajesh - Recent Trends in Intensive Computing, 2021 - books.google.com
Nowadays Customer segmentation became very popular method for dividing company's
customers for retaining customers and making profit out of them, in the following study …

The practical approach in Customers segmentation by using the K-Means Algorithm

EYL Nandapala, KPN Jayasena - 2020 IEEE 15th international …, 2020 - ieeexplore.ieee.org
The partnership between businesses and consumers is increasingly crucial with
technological growth. It is necessary to manage this relationship for the company's future …

Automatic and Adaptive Segmentation of Customer in R framework using K-means Clustering Technique

P Nagaraj, SS Birunda, R Venkatesh… - 2022 International …, 2022 - ieeexplore.ieee.org
In the past few years, e-commerce business has placed a greater emphasis on delivering
the better customer service. Building stronger customer relationships aids businesses in …

[PDF][PDF] K-Means customers clustering by their RFMT and score satisfaction analysis

D Mensouri, A Azmani, M Azmani - International Journal of …, 2022 - researchgate.net
Businesses derive more revenue from building and maintaining long-term relationships with
their customers. Therefore, it is essential to build refined strategies based on customer …