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Churn Prediction in Telecommunication Industry Using Rough Set Approach [chapter]

Adnan Amin, Saeed Shehzad, Changez Khan, Imtiaz Ali, Sajid Anwar
2015 Studies in Computational Intelligence  
The Customer churn is a crucial activity in rapidly growing and mature competitive telecommunication sector and is one of the greatest importance for a project manager.  ...  This study is another attempt which makes use of rough set theory, a rule-based decision making technique, to extract rules for churn prediction.  ...  However, rough set theory application has not been widely studied in customer churn prediction in telecommunication sector.  ... 
doi:10.1007/978-3-319-10774-5_8 fatcat:cdw4sxvfpbfzhaonabb7zvefse

Literature Review of Using DWHBI Approaches to Predict and Reduce Customer Churn in Telecommunications Industry

K. Prakash Krishnan, A. Kumar Kombaiya
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
The objective of customer churn prediction is to find the subscribers that are ready to move from the current service provider in advance.  ...  Churn prediction allows the service providers to offer new benefits and campaign offers to retain the existing customer in the same network.  ...  Adnan Amin, Sajid Anwar (2016) Custome churn prediction in Telecom using Rough set approach Neuro computing 237(2017)242-254. 2016 Elsevier B.V. All rights reserved.  ... 
doi:10.32628/cseit206535 fatcat:ehq4hq25afhehgrialku7rkwvq

Combined Appetency and Upselling Prediction Scheme in Telecommunication Sector Using Support Vector Machines

Lian-Ying Zhou, School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, 212013, China, Daniel M. Amoh, Louis K. Boateng, Andrews A. Okine
2019 International Journal of Modern Education and Computer Science  
In recent years, researchers and practitioners have investigated customer churn prediction (CCP) as a CRM approach to differentiate churn from non-churn customers.  ...  The proposed model is effective in predicting appetency and up-sell customers from a publicly available dataset.  ...  However, appetency and up-selling have not widely been researched in the telecommunication sector.  ... 
doi:10.5815/ijmecs.2019.06.01 fatcat:bxlth3ydpfdetpgai3z2fok25u

Special issue on machine learning algorithms for internet of things, fog computing and cloud computing

Gunasekaran Manogaran, Naveen Chilamkurti, Ching-Hsien Hsu
2018 Computing  
The sixth paper, entitled Computing Efficient Features using Rough Set Theory combined with Ensemble Classification techniques to improve the Customer Churn Prediction in Telecommunication Sector, by Vijaya  ...  and Sivasankar, proposed the Rough Set Theory (RST) based model to identify the efficient features for telecommunication customer churn prediction.  ... 
doi:10.1007/s00607-018-0644-3 fatcat:kr3464yrm5daxjju3igawytpvy

Improving the Reliability of Churn Predictions in Telecommunication Sector by Considering Customer Region

Lian-Ying Zhou, Louis K. Boateng, Daniel M. Amoh, Andrews A. Okine
2019 International Journal of Information Technology and Computer Science  
Prediction of customer churn has been one of the most interesting and challenging tasks facing most telecommunication companies recently.  ...  Consequently, most of these CCP models add little or nothing to the revenue growth of telecommunication industries. This work aims at improving the reliability of CCP in the telecommunication sector.  ...  [13] predicted customer churn in cellular wireless services using a neural network based approach with a churn accuracy of over 92%.  ... 
doi:10.5815/ijitcs.2019.06.01 fatcat:vip34luvtngutf6vcl4igncipu

Review of Data Mining Techniques for Churn Prediction in Telecom

Vishal Mahajan, Richa Misra, Renuka Mahajan
2015 Journal of Information and Organizational Sciences  
This paper provides a review of around 100 recent journal articles starting from year 2000 to present the various data mining techniques used in multiple customer based churn models.  ...  Significant research had been undertaken by researchers worldwide to understand the data mining practices that can be used for predicting customer churn.  ...  Authors [77] used neural networks techniques to predict the customer churn. Authors used the randomly selected 5000 customers from a Jordian telecommunication company.  ... 
doaj:6872c0b1e7984dcf92c1383f31c5a136 fatcat:kvlsqsz6zvcerdotpoz2x5n5a4

Empirical Study on Hybrid technique to predict customer's intention

Pallabi Baruah, Dr. Bhairab Sarma
2021 IARJSET  
This paper gives emphasis on a hybrid data mining techniques which involves Decision Tree and Logistic Regression which is used to create the prediction model to predict the intention of the customers  ...  Customer churn is one of the most important metrics for a growing business to evaluate.  ...  A simple predictive model for the prediction of potential churn customers using primary data from customers has been of great importance in the sector.  ... 
doi:10.17148/iarjset.2021.86123 fatcat:mtpx6ozerfd2toqciusykl7yny

Factors affecting Service Quality, Customer Satisfaction and Customer Churn in Pakistan Telecommunication Services Market

Yasser Khan
Telecommunication quality of service and customer satisfaction are the importantdecisive factors responsible for shifting of loyalties and increase profitability to the face the fierce competition in Pakistan  ...  The results clearly indicate the strong positive relations of value added services on service quality & customer satisfaction and strongly negative relationship with customer propensity to churn in Pakistan  ...  Abbas Al-Refaie, Murad Al-Tarawneh, Nour Bata " study of customer churn in the telecom industry using structural equation  ... 
doi:10.26782/jmcms.2019.08.00048 fatcat:w3tevesnvzbodha7hjzefrxlqa

Predicting customer churn using targeted proactive retention

B Mishachandar, Kakelli Anil Kumar
2018 International Journal of Engineering & Technology  
The literature of this paper provides a comprehensible understanding of the so far employed techniques in predicting customer churn.  ...  Especially in the case of a telecommunication industry, where deregulation is at its peak. Every year a new company springs up offering fitter options for its customers.  ...  Manohar for his assistance and comments that greatly improved the manuscript and VIT, Vellore for providing us the required support to try and execute the various techniques and methodologies for the successful  ... 
doi:10.14419/ijet.v7i2.27.10180 fatcat:322vtcdjwnautnp2adswr6iyum

A fuzzy based churn prediction and retention model for prepaid customers in telecom industry

Muhammad Azeem, Muhammad Usman
2018 International Journal of Computational Intelligence Systems  
A number of churn prediction models have been proposed in the past, however, the existing models suffer from a number of limitations due to which these models are not applicable on real world large size  ...  Secondly, the present models have been validated mainly with benchmark datasets which don't provide a true representation of a large scale real world data in telecom sector.  ...  On the other hand, a rule based approach has been proposed in [32] which rely on rough set theory for accurate churn prediction.  ... 
doi:10.2991/ijcis.11.1.6 fatcat:kcxjsp7nxbfzdpk47amsaxbvhy

Semi-Supervised Churn Clustering for Fault and Constraints Prediction in Telecom Industry

Narasimhan Kamalraj, Arunachalam Malathi
2016 Indian Journal of Science and Technology  
The SCCC method uses a churn dataset for conducting the experimental work.Experiment is conducted on the factors such as execution time, accuracy, clustering efficiency and support rate on predicting the  ...  This JAVA language uses the code to effectively identify the churns in telecom industry.  ...  To address dimensionality reduction, a new rule algorithm on the basis of rough set theory was introduced in 20 to increase the positive predictive value and frequency.  ... 
doi:10.17485/ijst/2016/v9i33/79842 fatcat:3nct7obiqfeonfarbwyovbikju

Identifying Customer Churn Patterns with Rough Sets

Yingzhi YANG, Xiaolin QI, Shuo SUN, Zhen WANG, Hui JIANG, Joohwan SUNG
2018 Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics  
The present paper uses Rough Set theory to analyze customer churn data for a telecom service provider.  ...  a set of rules clearly describing customer groups that are most likely to churn, and drawing appropriate conclusions from the rules.  ...  Customer churn data are analyzed using rough set theory, a technique for selecting a few features to infer rules about data.  ... 
doi:10.26397/eai1584040921 doaj:6d447aecc28e4735817d396e491030d6 fatcat:qfr7i3k25zbtvco7jxm6llz2yy

Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector

Irina V. Pustokhina, Denis A. Pustokhin, Phong Thanh Nguyen, Mohamed Elhoseny, K. Shankar
2021 Complex & Intelligent Systems  
AbstractCustomer retention is a major challenge in several business sectors and diverse companies identify the customer churn prediction (CCP) as an important process for retaining the customers.  ...  CCP in the telecommunication sector has become an essential need owing to a rise in the number of the telecommunication service providers.  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their critical and constructive comments, their thoughtful suggestions have helped improve this paper substantially.  ... 
doi:10.1007/s40747-021-00353-6 fatcat:d2esv636gvdgldqbmfs43b6yw4

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach

Latifah Almuqren, Fatma S. Alrayes, Alexandra I. Cristea
2021 Future Internet  
Therefore, this study offers a new approach to using social media mining to predict customer churn in the telecommunication field.  ...  This represents the first work using Arabic Twitter mining to predict churn in Saudi Telecom companies.  ...  In addition, reference [47] predicted customer churning in the telecommunication industry based on rough set theory.  ... 
doi:10.3390/fi13070175 fatcat:c75hp33brjh7pltsxxpibpp6qu

User behaviour analysis and churn prediction in ISP

Ahmet Turkmen, Cenk Anil Bahcevan, Youssef Alkhanafseh, Esra Karabiyik
2020 New Trends and Issues Proceedings on Advances Pure and Applied Sciences  
The prediction of customers who are at the risk of leaving a company's services is not possible without using their connection details, support tickets and network traffic usage data.  ...  Keywords: Data analysis, customer satisfaction, subscriber churn, machine learning, telecommunication.  ...  Their [4] local dataset belonged to a telecommunication company in Jordan. [5] proposed a genetic algorithm methodology which used a rough set theory.  ... 
doi:10.18844/gjpaas.v0i12.4987 fatcat:ocufuykby5fufbvlox7a3mx2ei
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