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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64927

    題名: Ontology-based data mining approach implemented on exploring product and brand spectrum
    作者: Liao, Shu-hsien;Ho, Hsu-hui;Yang, Feng-chich
    貢獻者: 淡江大學經營決策學系
    關鍵詞: Ontology;Data mining;Apriori algorithm;Clustering analysis;Product spectrum;Brand spectrum
    日期: 2009-11
    上傳時間: 2011-10-20 16:11:11 (UTC+8)
    出版者: Kidlington: Pergamon
    摘要: In physics, a spectrum is, the series of colored bands diffracted and arranged in the order of their respective wave lengths by the passage of white light through a prism or other diffracting medium. Outside of physics, a spectrum is a condition that is not limited to a specific set of values but can vary infinitely within a continuum. In commerce, an effective visualization tool, especially for stakeholders or managers, is a brand spectrum diagram highlighting where the company’s brands and products are situated compared to other competitors. This paper investigates the research issues on product and brand spectrum in the beverage product market of Taiwan, which proposes using the Apriori algorithm of association rules, and clustering analysis based on an ontology-based data mining approach, for mining customer and product knowledge from the database. Knowledge extracted from data-mining results is illustrated as knowledge patterns, rules, and maps in order to propose suggestions and solutions to beverage firms for possible product development, promotion, and marketing.
    關聯: Expert Systems with Applications 36(9), pp.11730-11744
    DOI: 10.1016/j.eswa.2009.04.030
    顯示於類別:[管理科學學系暨研究所] 期刊論文


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