Mining shopping behavior in the Taiwan luxury products market

Chih Hao Wen, Shu Hsien Liao, Wei Ling Chang, Ping Yu Hsu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish
Pages (from-to)11257-11268
Number of pages12
JournalExpert Systems with Applications
Volume39
Issue number12
DOIs
StatePublished - 15 Sep 2012

Keywords

  • Association rules
  • Brand spectrum
  • Clustering
  • Data mining
  • Luxury products
  • Product spectrum

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