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APPLIED MATHEMATICAL SCIENCES

ISSN 1312-885X (print)       ISSN 1314-7552 (online)


Chakarin Vajiramedhin, Anirut Suebsing
      Feature selection with data balancing for prediction of bank telemarketing
      Applied Mathematical Sciences, Vol. 8, 2014, no. 114, 5667-5672
      http://dx.doi.org/10.12988/ams.2014.47222

Copyright © 2014 Chakarin Vajiramedhin and Anirut Suebsing. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cited by (2):

Mohammad Majid Al-Rifaie and Haya Abdullah Alhakbani, Handling class imbalance in direct marketing dataset using a hybrid data and algorithmic level solutions, SAI Computing Conference (SAI), 2016 SAI Computing Conference, (2016), 446-451 [CrossRef]

Chuanfeng Yang, Predicting Success of Bank Telemarketing with Classification Trees and Logistic Regression, Diss., The University of Texas at Austin, 2016 [View at Publisher]


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