Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Recognition of profitable customers for dental services marketing--a case of dental clinics in Taiwan

Authors
Bih-Yaw Shih1, Wan-I Lee, Yi-Shun Chung, Ai-Wei Chen, Yichaio Sui
1Department of Computer Science, National PingTung University
Corresponding Author
Bih-Yaw Shih
Available Online October 2006.
DOI
10.2991/jcis.2006.151How to use a DOI?
Keywords
Neural networks, profitable customer, recognition, marketing strategy, discriminant analysis
Abstract

The medical care industry has been dramatically developed in the last two decades in Taiwan and it has resulted in an extremely risky position. The purpose of the research was the development of a neural network model to recognize profitable customers for dental services marketing. Data set was built up from proprietary customer databases and survey of seven dental clinics in Taiwan. The result reveals that the prediction accuracy of the model is greater than the discriminant analysis model. The evidence suggests that the model is useful in recognizing existing patterns of customers’ data.

Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
10.2991/jcis.2006.151How to use a DOI?
Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bih-Yaw Shih
AU  - Wan-I Lee
AU  - Yi-Shun Chung
AU  - Ai-Wei Chen
AU  - Yichaio Sui
PY  - 2006/10
DA  - 2006/10
TI  - Recognition of profitable customers for dental services marketing--a case of dental clinics in Taiwan
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.151
DO  - 10.2991/jcis.2006.151
ID  - Shih2006/10
ER  -