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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/91980

    Title: Mining Shopping Behavior in the Taiwan Luxury Products Market
    Authors: Wen, Chih-Hao;Liao, Shu-hsien;Chang, Wei-Ling;Hsu, Ping-Yu
    Contributors: 淡江大學管理科學學系
    Keywords: Luxury products;Data mining;Brand spectrum;Product spectrum;Association rules;Clustering
    Date: 2012-09-15
    Issue Date: 2013-08-12 13:32:12 (UTC+8)
    Publisher: Pergamon
    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.
    Relation: Expert Systems with Applications 39(12), pp.11257-11268
    DOI: 10.1016/j.eswa.2012.03.072
    Appears in Collections:[Department of Management Sciences] Journal Article

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