Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning: An Application to a Cloud-Based Software Company
作者： Niken Prasasti , Masato Okada , Katsutoshi Kanamori , Hayato Ohwada
DOI: 10.1007/978-3-319-05458-2_7
关键词: Data mining 、 Frequency distribution 、 Machine learning 、 Cloud computing 、 Computer science 、 Artificial intelligence 、 Software 、 Support vector machine 、 Customer lifetime value
摘要: This paper proposes an estimation of Customer Lifetime Value (CLV) for a cloud-based software company by using machine learning techniques. The purpose this study is twofold. We classify the customers one two classifications methods: C4.5 and support vector (SVM). use primarily to estimate frequency distribution customer defection possibility. result shows that both SVM perform well, obtaining distributions possibility, we can predict number defecting retained.
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sci-hub.se 参考文章(8)
Tom Fawcett, ROC Graphs: Notes and Practical Considerations for Data Mining Researchers ,(2003)
R. Gentleman, W. Huber, V. J. Carey, Supervised Machine Learning Springer, New York, NY. pp. 121- 136 ,(2008) , 10.1007/978-0-387-77240-0_9
Sotiris B. Kotsiantis, Supervised Machine Learning: A Review of Classification Techniques Informatica (lithuanian Academy of Sciences). ,vol. 31, pp. 249- 268 ,(2007)
Hyunseok Hwang, Taesoo Jung, Euiho Suh, AN LTV MODEL AND CUSTOMER SEGMENTATION BASED ON CUSTOMER VALUE: A CASE STUDY ON THE WIRELESS TELECOMMUNICATION INDUSTRY Expert Systems With Applications. ,vol. 26, pp. 181- 188 ,(2004) , 10.1016/S0957-4174(03)00133-7
György Szarvas, Richárd Farkas, András Kocsor, A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms Discovery Science. pp. 267- 278 ,(2006) , 10.1007/11893318_27
Afaq Alam Khan, Sanjay Jamwal, M.M. Sepehri, Applying Data Mining to Customer Churn Prediction in an Internet Service Provider International Journal of Computer Applications. ,vol. 9, pp. 8- 14 ,(2010) , 10.5120/1400-1889
J. Huang, J. Lu, C.X. Ling, Comparing naive Bayes, decision trees, and SVM with AUC and accuracy international conference on data mining. pp. 553- 556 ,(2003) , 10.1109/ICDM.2003.1250975
Sunil Gupta, Dominique Hanssens, Bruce Hardie, Wiliam Kahn, V. Kumar, Nathaniel Lin, Nalini Ravishanker, S. Sriram, Modeling Customer Lifetime Value Journal of Service Research. ,vol. 9, pp. 139- 155 ,(2006) , 10.1177/1094670506293810