Negative Correlation Learning for Customer Churn Prediction: A Comparison Study
Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining existing ones. Therefore, adopting accurate m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/473283 |
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| _version_ | 1832552678119440384 |
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| author | Ali Rodan Ayham Fayyoumi Hossam Faris Jamal Alsakran Omar Al-Kadi |
| author_facet | Ali Rodan Ayham Fayyoumi Hossam Faris Jamal Alsakran Omar Al-Kadi |
| author_sort | Ali Rodan |
| collection | DOAJ |
| description | Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining existing ones. Therefore, adopting accurate models that are able to predict customer churn can effectively help in customer retention campaigns and maximizing the profit. In this paper we will utilize an ensemble of Multilayer perceptrons
(MLP) whose training is obtained using negative correlation learning
(NCL) for predicting customer churn in a telecommunication company.
Experiments results confirm that NCL based MLP ensemble can achieve
better generalization performance (high churn rate) compared with ensemble
of MLP without NCL (flat ensemble) and other common data
mining techniques used for churn analysis. |
| format | Article |
| id | doaj-art-f847c32b6be1401abcdc46ac1dc00748 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f847c32b6be1401abcdc46ac1dc007482025-02-03T05:58:15ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/473283473283Negative Correlation Learning for Customer Churn Prediction: A Comparison StudyAli Rodan0Ayham Fayyoumi1Hossam Faris2Jamal Alsakran3Omar Al-Kadi4King Abdulla II School for Information Technology, The University of Jordan, Amman 11942, JordanCollege of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi ArabiaKing Abdulla II School for Information Technology, The University of Jordan, Amman 11942, JordanKing Abdulla II School for Information Technology, The University of Jordan, Amman 11942, JordanKing Abdulla II School for Information Technology, The University of Jordan, Amman 11942, JordanRecently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining existing ones. Therefore, adopting accurate models that are able to predict customer churn can effectively help in customer retention campaigns and maximizing the profit. In this paper we will utilize an ensemble of Multilayer perceptrons (MLP) whose training is obtained using negative correlation learning (NCL) for predicting customer churn in a telecommunication company. Experiments results confirm that NCL based MLP ensemble can achieve better generalization performance (high churn rate) compared with ensemble of MLP without NCL (flat ensemble) and other common data mining techniques used for churn analysis.http://dx.doi.org/10.1155/2015/473283 |
| spellingShingle | Ali Rodan Ayham Fayyoumi Hossam Faris Jamal Alsakran Omar Al-Kadi Negative Correlation Learning for Customer Churn Prediction: A Comparison Study The Scientific World Journal |
| title | Negative Correlation Learning for Customer Churn Prediction: A Comparison Study |
| title_full | Negative Correlation Learning for Customer Churn Prediction: A Comparison Study |
| title_fullStr | Negative Correlation Learning for Customer Churn Prediction: A Comparison Study |
| title_full_unstemmed | Negative Correlation Learning for Customer Churn Prediction: A Comparison Study |
| title_short | Negative Correlation Learning for Customer Churn Prediction: A Comparison Study |
| title_sort | negative correlation learning for customer churn prediction a comparison study |
| url | http://dx.doi.org/10.1155/2015/473283 |
| work_keys_str_mv | AT alirodan negativecorrelationlearningforcustomerchurnpredictionacomparisonstudy AT ayhamfayyoumi negativecorrelationlearningforcustomerchurnpredictionacomparisonstudy AT hossamfaris negativecorrelationlearningforcustomerchurnpredictionacomparisonstudy AT jamalalsakran negativecorrelationlearningforcustomerchurnpredictionacomparisonstudy AT omaralkadi negativecorrelationlearningforcustomerchurnpredictionacomparisonstudy |