Results 41 to 50 of about 22,947 (200)

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

Ensembles of probability estimation trees for customer churn prediction [PDF]

open access: yes, 2010
Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e
A. Lemmens   +20 more
core   +3 more sources

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

Factors Influence Customer Churn on Internet Service Provider in Indonesia

open access: yesTIJAB (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]

open access: yes, 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

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

Circular Design Strategies Unleashed: Competitiveness and the Journey Towards Circular Manufacturing Businesses

open access: yesBusiness 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

Process Framework for Subscriber Management and Retention in Nigerian Telecommunication Industry [PDF]

open access: yes, 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  

Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty

open access: yes, 2015
Churn prediction, or the task of identifying customers who are likely to discontinue use of a service, is an important and lucrative concern of firms in many different industries.
Blumenstock, Joshua   +3 more
core   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh   +3 more
wiley   +1 more source

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