References
- P. Kotler, K. L. Keller, "Framework for Marketing Management, 6th edition," Pearson, 2015.
- S. Moro, P. Cortez, and P. Rita, "A data-driven approach to predict the success of bank telemarketing," Decision Support Systems, Vol. 62, 2014, pp. 22-31. https://doi.org/10.1016/j.dss.2014.03.001
- E. Turban, R. Sharda, and D. Delen, " Decision Support and Business Intelligence Systems, 9th edition," Pearson, 2010, pp. 2-35.
- S. L. France, and S. Ghose, "Marketing analytics: Methods, practice, implementation, and links to other fields," Expert Systems with Applications, Vol. 119, 2019, pp. 456-475. https://doi.org/10.1016/j.eswa.2018.11.002
- G. Marinakos, and S. Daskalaki, "Imbalanced customer classification for bank direct marketing," Journal of Marketing Analytics, Vol. 5, Issue 1, 2017, pp. 14-30. https://doi.org/10.1057/s41270-017-0013-7
- 김승수.김종우, "비정형 정보와 CNN 기법을 활용한 이진 분류 모델의 고객 행태 예측," 지능정보연구, Vol. 24, No. 2, 2018, pp. 221-241. https://doi.org/10.13088/JIIS.2018.24.2.221
- F. Kaefer, C. M. Heilman, and S. D. Ramenofsky, "A neural network application to consumer classification to improve the timing of direct marketing activities," Computers & Operations Research, Vol. 32, No. 10, 2005, pp. 2595-2615. https://doi.org/10.1016/j.cor.2004.06.021
- S. Liao, Y. Chen, and H. Hsieh, "Mining customer knowledge for direct selling and marketing," Expert Systems with Applications, Vol. 38, 2011, pp. 6059-6069. https://doi.org/10.1016/j.eswa.2010.11.007
- S. H. Javaheri, M. M. Sepehri, and B. Teimourpour, "Response modeling in direct marketing: a data mining based approach for target selection," Data Mining Applications with R, 2014, pp. 153-178.
- P. Ladyzinski, K. Zbikowski, and P. Gawrysiak, "Direct marketing campaign in retail banking with the use of deep learning and random forests," Expert Systems with Applications, Vol. 134, 2019, pp. 28-35. https://doi.org/10.1016/j.eswa.2019.05.020
- 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, 2002, pp. 321-357. https://doi.org/10.1613/jair.953
- G. Menardi, and N. Torelli, "Training and assessing classification rules with imbalanced data,"Data Mining and Knowledge Discovery, Vol. 28, No. 1, 2014, pp. 92-122. https://doi.org/10.1007/s10618-012-0295-5
- 김창식.김남규.곽기영, "머신러닝 및 딥러닝 연구동향 분석: 토픽모델링을 중심으로," 디지털산업정보학회 논문지, 제15권, 제2호, 2019, pp.19-28.
- 주명길.윤성욱, "워드 임베딩과 CNN을 사용하여 영화 리뷰에 대한 감성 분석," 디지털산업정보학회 논문지, 제15권, 제1호, 2019, pp.87-97.
- S. Moro, P. Cortez, and P. Rita, "A Data-Driven Approach to Predict the Success of Bank Telemarketing," Decision Support Systems, Vol. 62, 2014, pp. 22-31. https://doi.org/10.1016/j.dss.2014.03.001