Results 31 to 40 of about 639,400 (197)

A Model for Customer Churn Management of an Internet Service Provider [PDF]

open access: yesمطالعات مدیریت کسب و کار هوشمند, 2022
Customer churning is one of the most important issues facing Internet Service Providers in a competitive and rapidly saturating market. Due to the high costs associated with attracting new customers, ISPs have turned to a customer retention approach that
Sahar Amiri   +2 more
doaj   +1 more source

GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators

open access: yesSocial Sciences and Humanities Open
Customer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun   +2 more
doaj   +1 more source

Design of Prediction Model using Data Mining for Segmentation and Classification Customer Churn in E-Commerce Mall in Mall

open access: yesJOIV: International Journal on Informatics Visualization, 2023
The classification of churn is driven by the potential risks e-commerce companies face, such as losing customers who discontinue their service usage or churn.
Ilham Huda   +2 more
doaj   +1 more source

Telecommunications Customer Churn and Loyalty Intention [PDF]

open access: yesMarketing and Management of Innovations, 2019
Nowadays the telecommunications sector is becoming very complex Because of the panoply of high-speed technological services. Customers are abandoning the services offered by telecommunications operators because of their dissatisfaction with the services they offer. «Churn» or the migration of customers from one telecommunications operator to another is
Mbarek, R., Baeshen, Ya.
openaire   +2 more sources

Customer Segmentation and Churn Prediction via Customer Metrics

open access: yes2022 30th Signal Processing and Communications Applications Conference (SIU), 2022
In this study, it is aimed to predict whether customers operating in the factoring sector will continue to trade in the next three months after the last transaction date, using data-driven machine learning models, based on their past transaction movements and their risk, limit and company data.
Tunahan Bozkan   +3 more
openaire   +2 more sources

A Novel and Robust LSTM Model for Customer Churn Analysis Using Deep, Machine Learning, and Ensemble Learning: A Telecommunications Case

open access: yesActa Infologica
Customer churn is an important issue in increasing both the long- and short-term revenues. If companies identify customers’ churn behavior, they can prevent churn, ensure customer loyalty, and, in turn, gain better financial returns.
Muhammet Sinan Başarslan   +2 more
doaj   +1 more source

IG-KNN UNTUK PREDIKSI CUSTOMER CHURN TELEKOMUNIKASI

open access: yesSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2015
ABSTRAK IG-KNN merupakan gabungan dari algotitma pemilihan fitur information gain dengan algoritma klasifikasi KNN, kedua algoritma ini diharapkan dapat meningkatkan akurasi dalam memprediksi customer churn telekomunikasi.
Muhammad Arifin
doaj   +1 more source

Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company

open access: yesInternational Journal of Technology, 2021
Technology advancement has developed a shift perception towards better service from internet providers, and the power to move easily to another provider to secure improved quality results in customer churn.
Arian Dhini, Muhammad Fauzan
doaj   +1 more source

Analysis and Classification of Customer Churn Using Machine Learning Models

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Analysis studies of customer loss (customer churn) have been used for years to increase profitability and build customer relationships with companies.
Muhammad Maulana Sidiq Nurhidayat   +1 more
doaj   +1 more source

Predicting Environmental Violations: A Cross‐Method Framework Integrating Parametric and Non‐Parametric Approaches

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Prior research has mostly relied on linear and parametric models while explaining environmental non‐compliance, but they have a limited capacity to capture non‐linear and asymmetric effects of elements affecting firms' environmental compliance.
Ashutosh Singh   +4 more
wiley   +1 more source

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