Results 51 to 60 of about 856,045 (240)
Factors Influence Customer Churn on Internet Service Provider in Indonesia
TIJAB (The International Journal of Applied Business), 2022 Rapid growth of internet users in Indonesia and the Covid-19 pandemic situation has prompted the emergence of new Internet Service Providers in line with the increasing demand for internet access.
Handi Aulia Triyafebrianda +1 more
doaj +1 more source
Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]
, 2015 Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila +2 more
core +2 more sources
Prediction of bank credit customers churn based on machine learning and interpretability analysis
Data Science in Finance and EconomicsNowadays, traditional machine learning methods for building predictive models of credit card customer churn are no longer sufficient for effective customer management. Additionally, interpreting these models has become essential.
Ying Li, Keyue Yan
doaj +1 more source
IG-KNN UNTUK PREDIKSI CUSTOMER CHURN TELEKOMUNIKASI
Simetris: 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
Process Framework for Subscriber Management and Retention in Nigerian Telecommunication Industry [PDF]
, 2007 in the global telecommunication industry. Hence, a dominant approach for subscriber management and retention is churn control, since it is cheaper to retain an existing subscriber than acquiring a new one.
Daramola, Olawande, Oladipupo, O. O.
core
Technologies, 2023 This paper explores the application of various machine learning techniques for predicting customer churn in the telecommunications sector. We utilized a publicly accessible dataset and implemented several models, including Artificial Neural Networks ...
Mehdi Imani, H. Arabnia
semanticscholar +1 more source
Institutional Ownership and Corporate Sustainability Performance—A Meta‐Analysis
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates the relationship between institutional ownership (IO) and corporate sustainability performance (SP), addressing inconsistent findings in prior research and clarifying the boundary conditions of this relationship by testing a defined set of potential moderators.
Hans Henrik Scherer +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The transition to a circular economy (CE) remains hindered by the lack of practical strategies that simultaneously secure competitiveness and deliver sustainability outcomes for manufacturing organisations. While circular design is often cited as a cornerstone of CE, its concrete role in driving competitive advantage and organisational ...
Shamaila Ishaq +3 more
wiley +1 more source
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
IEEE AccessIn the Telecommunication Industry (TCI) customer churn is a significant issue because the revenue of the service provider is highly dependent on the retention of existing customers. In this competitive market, it is essential for the service providers to
Somak Saha +4 more
semanticscholar +1 more source
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks
Annals of Operations Research, 2023 Deep neural network (DNN) architectures such as recurrent neural networks and transformers display outstanding performance in modeling sequential unstructured data. However, little is known about their merit to model customer churn with time-varying data.
Gary Mena +4 more
semanticscholar +1 more source