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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64927

    Title: Ontology-based data mining approach implemented on exploring product and brand spectrum
    Authors: Liao, Shu-hsien;Ho, Hsu-hui;Yang, Feng-chich
    Contributors: 淡江大學經營決策學系
    Keywords: Ontology;Data mining;Apriori algorithm;Clustering analysis;Product spectrum;Brand spectrum
    Date: 2009-11
    Issue Date: 2011-10-20 16:11:11 (UTC+8)
    Publisher: Kidlington: Pergamon
    Abstract: 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.
    Relation: Expert Systems with Applications 36(9), pp.11730-11744
    DOI: 10.1016/j.eswa.2009.04.030
    Appears in Collections:[Department of Management Sciences] Journal Article

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