Predicting the success of bank telemarketing using deep convolutional neural network

Kee Hoon Kim, Chang Seok Lee, Sang Muk Jo, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Recently, exploitations of the financial big data to solve the real world problems have been to the fore. Deep neural networks are one of the famous machine learning classifiers as their automatic feature extractions are useful, and even more, their performance is impressive in practical problems. Deep convolutional neural network, one of the promising deep neural networks, can handle the local relationship between their nodes which can make this model powerful in the area of image and speech recognition. In this paper, we propose the deep convolutional neural network architecture that predicts whether a given customer is proper for bank telemarketing or not. The number of layers, learning rate, initial value of nodes, and other parameters that should be set to construct deep convolutional neural network are analyzed and proposed. To validate the proposed model, we use the bank marketing data of 45,211 phone calls collected during 30 months, and attain 76.70% of accuracy which outperforms other conventional classifiers.

Original languageEnglish
Title of host publicationProceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages314-317
Number of pages4
ISBN (Electronic)9781467393607
DOIs
Publication statusPublished - 2016 Jun 15
Event7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 - Fukuoka, Japan
Duration: 2015 Nov 132015 Nov 15

Other

Other7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
CountryJapan
CityFukuoka
Period15/11/1315/11/15

Fingerprint

Neural Networks
Neural networks
Classifiers
Image recognition
Network architecture
Speech recognition
Classifier
Learning systems
Feature extraction
Marketing
Image Recognition
Learning Rate
Network Architecture
Speech Recognition
Vertex of a graph
Exploitation
Feature Extraction
Machine Learning
Customers
Banks

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Control and Optimization
  • Modelling and Simulation

Cite this

Kim, K. H., Lee, C. S., Jo, S. M., & Cho, S. B. (2016). Predicting the success of bank telemarketing using deep convolutional neural network. In Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 (pp. 314-317). [7492828] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOCPAR.2015.7492828
Kim, Kee Hoon ; Lee, Chang Seok ; Jo, Sang Muk ; Cho, Sung Bae. / Predicting the success of bank telemarketing using deep convolutional neural network. Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 314-317
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Kim, KH, Lee, CS, Jo, SM & Cho, SB 2016, Predicting the success of bank telemarketing using deep convolutional neural network. in Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015., 7492828, Institute of Electrical and Electronics Engineers Inc., pp. 314-317, 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, 15/11/13. https://doi.org/10.1109/SOCPAR.2015.7492828

Predicting the success of bank telemarketing using deep convolutional neural network. / Kim, Kee Hoon; Lee, Chang Seok; Jo, Sang Muk; Cho, Sung Bae.

Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 314-317 7492828.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kim KH, Lee CS, Jo SM, Cho SB. Predicting the success of bank telemarketing using deep convolutional neural network. In Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 314-317. 7492828 https://doi.org/10.1109/SOCPAR.2015.7492828