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The Scientific World Journal
Volume 2014, Article ID 685495, 7 pages
Research Article

Analyzing Patients’ Values by Applying Cluster Analysis and LRFM Model in a Pediatric Dental Clinic in Taiwan

1Department of Business Administration, National Changhua University of Education, Changhua City 500, Taiwan
2Department of Tourism, Leisure, and Hospitality Management, National Chi Nan University, Nantou 545, Taiwan

Received 24 January 2014; Accepted 26 May 2014; Published 19 June 2014

Academic Editor: Hyunchul Ahn

Copyright © 2014 Hsin-Hung Wu et al. 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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Jo Ting Wei, Shih-Yen Lin, You-Zhen Yang, and Hsin-Hung Wu, “Applying Data Mining and RFM Model to Analyze Customers' Values of a Veterinary Hospital,” 2016 International Symposium on Computer, Consumer and Control (IS3C), pp. 481–484, . View at Publisher · View at Google Scholar
  • Eric R. Swenson, Nathaniel D. Bastian, and Harriet B. Nembhard, “Data analytics in health promotion: Health market segmentation and classification of total joint replacement surgery patients,” Expert Systems with Applications, vol. 60, pp. 118–129, 2016. View at Publisher · View at Google Scholar
  • Shian-Chang Huang, Yii-Ching Lee, Chih-Hsuan Huang, and Hsin-Hung Wu, “A new approach to identify high burnout medical staffs by kernel K-means cluster analysis in a regional teaching hospital in Taiwan,” Inquiry (United States), vol. 53, 2016. View at Publisher · View at Google Scholar
  • You-Zhen Yang, Hsin-Hung Wu, Jo Ting Wei, and Shih-Yen Lin, “Analyzing consumption behaviors of pet owners in a veterinary hospital,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10387, pp. 173–180, 2017. View at Publisher · View at Google Scholar