Analyzing consumption behaviors of pet owners in a veterinary hospital

Jo Ting Wei, Shih Yen Lin, You Zhen Yang, Hsin-Hung Wu

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

Abstract

The purpose of this study is to identify different consumption behaviors of pet owners in a veterinary hospital so as to provide proper marketing strategies. A case study was conducted by combining data mining techniques and RFM model for a veterinary hospital located in Taichung City, Taiwan by examining its transactions data focusing on pet mice in 2014. The development of marketing strategies for the veterinary hospital is important to improve its service quality and strengthen the positive relationship between the pet owners and the case veterinary hospital.

Original languageEnglish
Title of host publicationData Mining and Big Data - 2nd International Conference, DMBD 2017, Proceedings
EditorsHideyuki Takagi, Yuhui Shi, Ying Tan
PublisherSpringer Verlag
Pages173-180
Number of pages8
ISBN (Print)9783319618449
DOIs
Publication statusPublished - 2017 Jan 1
Event2nd International Conference on Data Mining and Big Data, DMBD 2017 - Fukuoka, Japan
Duration: 2017 Jul 272017 Aug 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10387 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Data Mining and Big Data, DMBD 2017
CountryJapan
CityFukuoka
Period17-07-2717-08-01

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Wei, J. T., Lin, S. Y., Yang, Y. Z., & Wu, H-H. (2017). Analyzing consumption behaviors of pet owners in a veterinary hospital. In H. Takagi, Y. Shi, & Y. Tan (Eds.), Data Mining and Big Data - 2nd International Conference, DMBD 2017, Proceedings (pp. 173-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10387 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-61845-6_18