教師資料查詢 | 類別: 期刊論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題:Ontology-based data mining approach implemented on exploring product and brand spectrum
學年98
學期1
出版(發表)日期2009/11/01
作品名稱Ontology-based data mining approach implemented on exploring product and brand spectrum
作品名稱(其他語言)
著者Liao, Shu-hsien; Ho, Hsu-hui; Yang, Feng-chich
單位淡江大學經營決策學系
出版者Kidlington: Pergamon
著錄名稱、卷期、頁數Expert Systems with Applications 36(9), pp.11730-11744
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.
關鍵字Ontology;Data mining;Apriori algorithm;Clustering analysis;Product spectrum;Brand spectrum
語言英文
ISSN0957-4174
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者Liao, Shu-hsien
審稿制度
國別英國
公開徵稿
出版型式紙本
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