An early warning model for customer churn prediction in telecommunication sector based on improved bat algorithm to optimize ELM
Sign Up to like & getrecommendations! 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
Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization
Sign Up to like & getrecommendations! Published in 2020 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1338
Abstract: Players in the telecommunications sector struggle against the competition to keep customers, and therefore they need effective churn management. Most classification algorithms either ignore misclassification cost or assume that the costs of all incorrect classification… read more here.
Keywords: telecommunications sector; cost; churn prediction; cost sensitive ... See more keywords
Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling
Sign Up to like & getrecommendations! 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
Applying over 100 classifiers for churn prediction in telecom companies
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09658-z
Abstract: In today’s date where machine learning is the key to solve so many problems in different fields, one really should know the extent of its importance in their field. One of the major applications of… read more here.
Keywords: machine learning; prediction telecom; 100 classifiers; classifiers churn ... 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
Sign Up to like & getrecommendations! 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
A Stacking-Based Data Mining Solution to Customer Churn Prediction
Sign Up to like & getrecommendations! 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
A Representation-Based Query Strategy to Derive Qualitative Features for Improved Churn Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3233768
Abstract: The effectiveness of any Machine Learning process depends on the accuracy of annotated data that is used to train a learner. However, manual annotation is expensive. Hence, researchers adopt a semi-supervised approach called active learning… read more here.
Keywords: churn prediction; query strategy; query; qualitative features ... See more keywords
Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction
Sign Up to like & getrecommendations! 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
Churn prediction of mobile and online casual games using play log data
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DOI: 10.1371/journal.pone.0180735
Abstract: Internet-connected devices, especially mobile devices such as smartphones, have become widely accessible in the past decade. Interaction with such devices has evolved into frequent and short-duration usage, and this phenomenon has resulted in a pervasive… read more here.
Keywords: churn; analysis; casual games; play log ... See more keywords
The Impact of Churn Labelling Rules on Churn Prediction in Telecommunications
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DOI: 10.15388/22-infor484
Abstract: One of the biggest difficulties in telecommunication industry is to retain the customers and prevent the churn. In this article, we overview the most recent researches related to churn detection for telecommunication companies. The selected… read more here.
Keywords: churn prediction; prediction telecommunications; labelling rules; rules churn ... See more keywords
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
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DOI: 10.3390/fi14030094
Abstract: Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies. This study aimed to develop a churn… read more here.
Keywords: churn prediction; customer churn; telecom customer; churn ... See more keywords