Mining shopping behavior in the Taiwan luxury products market

  • Authors:
  • Chih-Hao Wen;Shu-Hsien Liao;Wei-Ling Chang;Ping-Yu Hsu

  • Affiliations:
  • Department of Business Administration, National Central University, 300 Jhongda Road, Jhongli, Taiwan, ROC;Department of Management Sciences and Decision Making, Tamkang University, No. 151, Yingjuan Rd., Danshuei Jen, Taipei County, 251 Taipei, Taiwan, ROC;Department of Management Sciences and Decision Making, Tamkang University, No. 151, Yingjuan Rd., Danshuei Jen, Taipei County, 251 Taipei, Taiwan, ROC;Department of Business Administration, National Central University, 300 Jhongda Road, Jhongli, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

The rapid growth of Taiwan's economy has been accompanied by the country's developing market for luxury products. To successfully establish the new market demand chain for the luxury industry in Taiwan, it is essential to understand customer preferences. Thus, this study uses an association rules approach and clustering analysis for data mining to mine knowledge among luxury product-buying customers in Taiwan. The results of knowledge extraction from data mining, illustrated as knowledge patterns, rules and knowledge maps, are used to make recommendations for future developments in the luxury products industry.