Tài liệu tham khảo |
Loại |
Chi tiết |
[1] Y. Zhang, J. Qui, H. Shu, J. Cao, “A hybrid KNN-LR classifier and its application in customer churn prediction,” Proc. of IEEE International Conference on Systems,Man and Cybernetics, 7-12 Oct, pp. 3265-3269, 2007 |
Sách, tạp chí |
Tiêu đề: |
A hybrid KNN-LR classifier and its application in customer churn prediction,” "Proc. of IEEE International Conference on Systems, "Man and Cybernetics |
|
[2] P. Datta, B. Massand, D. Mani, B. Li, “Automated cellular modeling and prediction on a large scale,” Artificial Intelligence Review, vol. 14, pp. 485-502, 2000 |
Sách, tạp chí |
Tiêu đề: |
Automated cellular modeling and prediction on a large scale,” "Artificial Intelligence Review |
|
[3] Y. Wang, Z. Chen, “The application of classification algorithm combined with k- means in Customer churning of telecom”, Journal of Jiamusi University |
Sách, tạp chí |
Tiêu đề: |
The application of classification algorithm combined with k-means in Customer churning of telecom” |
|
[4] G. Li, X. Deng, “Customer churn prediction of China Telecom based on cluster analysis and decision tree algorithm,” Proc. of AICI 2012, CCIS 315, pp. 319-327, 2012 |
Sách, tạp chí |
Tiêu đề: |
Customer churn prediction of China Telecom based on cluster analysis and decision tree algorithm,” "Proc. of AICI 2012, CCIS 315 |
|
[5] E. Lima, C. Mues, B. Baesens,”Domain knowledge integration in data mining using decision tables: Case studies in churn prediction,” Journal of the OperationalResearch Society, vol. 60, no. 8, pp. 1096-1106, 2009 |
Sách, tạp chí |
Tiêu đề: |
Journal of the Operational "Research Society |
|
[6] S. Hung, D. Yen, H. Wang, “Applying data mining to telecom churn management”, Expert Systems with Applications, vol. 31, pp.515-524, 2006 |
Sách, tạp chí |
Tiêu đề: |
Applying data mining to telecom churn management”, "Expert Systems with Applications |
|
[7] C.F. Tsai, Y. H. Lu, “Customer churn prediction by hybrid neural networks”, Expert Systems with Applications, vol.36, pp. 12547-12553, 2009 |
Sách, tạp chí |
Tiêu đề: |
Customer churn prediction by hybrid neural networks”, "Expert Systems with Applications |
|
[8] Y. Zhao, B. Li, X. Li, W. Liu, and S. Ren, “Customer churn prediction with improved one-class support vector machine,” Proc. of ADMA 2005, LNAI 3584, pp.300-306, 2005 |
Sách, tạp chí |
Tiêu đề: |
Customer churn prediction with improved one-class support vector machine,” "Proc. of ADMA 2005, LNAI 3584 |
|
[9] B. Lariviere and D. Van, “Predicting customer retention and profitability by using random forests and regression forests techniques,” Expert Systems with Applications, vol. 29, pp. 277-285, 2005 |
Sách, tạp chí |
Tiêu đề: |
Predicting customer retention and profitability by using random forests and regression forests techniques,” "Expert Systems with Applications |
|
[10] Y. Xie, X. Li, E. W. T. Ngai, W. Ying, “Customer churn prediction using improved balanced random forests,” Expert Systems with Applications, vol. 36, pp.5445-5449, 2009 |
Sách, tạp chí |
Tiêu đề: |
Customer churn prediction using improved balanced random forests,” "Expert Systems with Applications |
|
[11] P. Spanoudes, T. Nguyen, “Deep Learning in Customer Churn Prediction: Unsupervised Feature Learning on Abstract Company Independent Feature Vectors,” 2017 |
Sách, tạp chí |
Tiêu đề: |
Deep Learning in Customer Churn Prediction: Unsupervised Feature Learning on Abstract Company Independent Feature Vectors |
|
[12] Wangperawong, C. Brun, O. Olav, P. Rujikorn, “Churn analysis using deep convolutional neural networks and autoencoders,” arXiv:1604.05377, 2016 |
Sách, tạp chí |
Tiêu đề: |
Churn analysis using deep convolutional neural networks and autoencoders,” "arXiv:1604.05377 |
|
[13] A. Uzair, A. K. Hussain, S. H. Khan, A. Basit, I. U. Haq, Y. S. Lee, Y. Soo, “Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry,” arXiv:1901.06091, 2019 |
Sách, tạp chí |
Tiêu đề: |
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry",” arXiv:1901.06091 |
|
[14] Y.Xiao, J. Xiao, Y. Huang, A. Liu, D. Wang, “Feature-selection-based dynamic transfer ensemble model for customer churn prediction,” Knowledge andInformation Systems 1(43):pp.29-51, 2014 |
Sách, tạp chí |
Tiêu đề: |
Feature-selection-based dynamic transfer ensemble model for customer churn prediction,” "Knowledge and "Information Systems 1 |
|
[15] W. Bi, Y. Shi, Z. Lan, “Transferred feature selection, ” Proceedings of IEEE international conference on data mining workshops, pp.416–421, 2009 |
Sách, tạp chí |
Tiêu đề: |
Transferred feature selection, ” "Proceedings of IEEE international conference on data mining workshops |
|
[16] T. Kamishima, M. Hamasaki, S. Akaho, “TrBagg: a simple transfer learning method and its application to personalization in collaborative tagging,” Proceedings of ninth IEEE international conference on data mining, Miami, FL, USA, pp.219–228, 2009 |
Sách, tạp chí |
Tiêu đề: |
TrBagg: a simple transfer learning method and its application to personalization in collaborative tagging,” "Proceedings of ninth IEEE international conference on data mining |
|
[17] W. Dai , Q. Yang, G. R. Xue, Y. Yu, “Boosting for transfer learning,” Proceedings of the 24th international conference on machine learning, pp.193–200, 2007 |
Sách, tạp chí |
Tiêu đề: |
Boosting for transfer learning,” "Proceedings of the 24th international conference on machine learning |
|
[18] Z. H. Zhou and X. Y. Liu, “Training cost-sensitive neural networks with methods addressing the class imbalance problem,” IEEE Trans Knowledge and Data Engineering 18(1):pp.63–77, 2006 |
Sách, tạp chí |
Tiêu đề: |
Training cost-sensitive neural networks with methods addressing the class imbalance problem,” "IEEE Trans Knowledge and Data Engineering 18 |
|
[19] N. V. Chawla, K. W. Bowyer, L. O. Hall and W. P. Kegelmeyer, "SMOTE: Synthetic Minority Over-sampling Technique," Journal of Artificial Intelligence Research, vol. 16, pp. 321-357, 2002 |
Sách, tạp chí |
Tiêu đề: |
SMOTE: Synthetic Minority Over-sampling Technique |
|
[43] C.L. Blake and C. J. Merz, Churn Data Set, UCI Repository of Machine Learning Databases, University of California, Department of Information and Computer Science, Irvine, CA, 2019. http://www.ics.uci.edu/~mlearn/MLRepository.html[44] CRM data in Teradata Center of Duke Universityhttp://www.fuqua.duke.edu/centers/ccrm/index.html |
Link |
|