Application of Decision Tree Algorithm for the Classification Problem in Bank Telemarketing

Author:

Lam Ngoc Nguyen Minh,Tran Ngoc Hong,Dinh Dung Hai

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Bee Wah Yap, K. A.: An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets. Singapore, pp. 13–22. Singapore, Springer (2014)

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3. Elsalamony, H.A.: Bank direct marketing analysis of data mining techniques. Int. J. Comput. Appl., 0975–8887 (2014)

4. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From Data Mining to Knowledge Discovery in Databases (1996). Retrieved 1 21, 2022 from AI Magazine: https://ojs.aaai.org//index.php/aimagazine/article/view/1230

5. Ilham, A., Khikmah, L., Indra, Ulumuddin, Iswara, I.B.: Long-term deposits prediction: a comparative framework of classification model for predict the success of bank telemarketing. J. Phys.: Conf. Series 012035 (2019)

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