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   Articles with "churn" as a keyword



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An early warning model for customer churn prediction in telecommunication sector based on improved bat algorithm to optimize ELM

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recommendations! Published in 2021 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22421

Abstract: The competition in the telecommunications industry is mainly reflected in the competition for the number of key customers. Therefore, how to effectively prevent the loss of large customers is a problem that many telecommunications companies… read more here.

Keywords: churn; bat algorithm; model; customer churn ... See more keywords

Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling

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recommendations! Published in 2017 at "Cluster Computing"

DOI: 10.1007/s10586-017-1154-3

Abstract: Nowadays, telecom industry faces fierce competition in satisfying its customers. This competition thus requires an efficient churn prediction system to identify customers who are ready to quit. Such churn customers are then retained through addressing… read more here.

Keywords: churn; prediction system; telecom; prediction ... See more keywords

An improved analytical approach for customer churn prediction using Grey Wolf Optimization approach based on stochastic customer profiling over a retail shopping analysis: CUPGO

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recommendations! Published in 2021 at "Evolutionary Intelligence"

DOI: 10.1007/s12065-019-00282-x

Abstract: Challenge of an early prediction of customer churn is a major demand among research community. To understand an intention of a customer on reasons to make a churn as well time taken by a customer… read more here.

Keywords: churn; customer; customer churn; approach ... See more keywords

Customer churn prediction in the telecommunication sector using a rough set approach

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.12.009

Abstract: Customer churn is a critical and challenging problem affecting business and industry, in particular, the rapidly growing, highly competitive telecommunication sector. It is of substantial interest to both academic researchers and industrial practitioners, interested in… read more here.

Keywords: churn; customer; telecommunication sector; approach ... See more keywords

Customer churn prediction model based on hybrid neural networks

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-79603-9

Abstract: In today’s competitive market environment, accurately identifying potential churn customers and taking effective retention measures are crucial for improving customer retention and ensuring the sustainable development of an organization. However, traditional machine learning algorithms and… read more here.

Keywords: churn; hybrid neural; prediction; model ... See more keywords
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A Stacking-Based Data Mining Solution to Customer Churn Prediction

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recommendations! Published in 2021 at "Journal of Relationship Marketing"

DOI: 10.1080/15332667.2021.1889743

Abstract: Abstract In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies. Despite… read more here.

Keywords: churn; data mining; customer; solution ... See more keywords

Prediction and Big Data Impact Analysis of Telecom Churn by Backpropagation Neural Network Algorithm from the Perspective of Business Model.

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recommendations! Published in 2023 at "Big data"

DOI: 10.1089/big.2021.0365

Abstract: This study aims to transform the existing telecom operators from traditional Internet operators to digital-driven services, and improve the overall competitiveness of telecom enterprises. Data mining is applied to telecom user classification to process the… read more here.

Keywords: business model; big data; telecom; churn ... See more keywords

Improving Shopping Mall Revenue by Real-Time Customized Digital Coupon Issuance

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3239425

Abstract: With the development of big data and deep learning technology, big data and deep learning technology have also been applied to the marketing field, which was a part of business administration. Customer churn management is… read more here.

Keywords: rate; churn; real time; customer ... See more keywords

Impact of Node Churn in the Bitcoin Network

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recommendations! Published in 2020 at "IEEE Transactions on Network Science and Engineering"

DOI: 10.1109/tnse.2020.2974739

Abstract: The aim of this work is to evaluate the impact of node churn –nodes leaving and rejoining the network– on the Bitcoin network. We provide a comprehensive analytical model for the churning process. We use… read more here.

Keywords: bitcoin network; time; impact; churn ... See more keywords

Deciphering Explicit and Implicit Features for Reliable, Interpretable, and Actionable User Churn Prediction in Online Video Games

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recommendations! Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2024.3487974

Abstract: The burgeoning online video game industry has sparked intense competition among providers to both expand their user base and retain existing players, particularly within social interaction genres. To anticipate player churn, there is an increasing… read more here.

Keywords: implicit features; deciphering explicit; churn; reliable interpretable ... See more keywords

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/9028580

Abstract: Customer churn prediction is one of the challenging problems and paramount concerns for telecommunication industries. With the increasing number of mobile operators, users can switch from one mobile operator to another if they are unsatisfied… read more here.

Keywords: churn; cost; churn prediction; customer churn ... See more keywords