淡江大學機構典藏:Item 987654321/77271
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    題名: Mining Disjunctive Consequent Association Rules
    作者: Chiang, Ding-An;Wang, Yi-Fan;Wang, Yi-Hsin;Chen, Zhi-Yang;Hsu, Mei-Hua
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Data mining;Associationrule;Disjunctive composite items
    日期: 2011-03
    上傳時間: 2012-06-14 10:15:57 (UTC+8)
    出版者: Amsterdam: Elsevier BV
    摘要: When associationrules A → B and A → C cannot be discovered from the database, it does not mean that A → B ∨ C will not be an associationrule from the same database. In fact, when A, B or C is the newly marketed product, A → B ∨ C shall be a very useful rule in some cases. Since the consequent item of this kind of rule is formed by a disjunctive composite item, we call this type of rules as the disjunctiveconsequentassociationrules. Therefore, we propose a simple but efficient algorithm to discover this type of rules. Moreover, when we apply our algorithm to insurance policy for cross selling, the useful results have been proven by the insurance company.
    關聯: Applied Soft Computing 11(2), pp.2129-2133
    DOI: 10.1016/j.asoc.2010.07.011
    顯示於類別:[資訊工程學系暨研究所] 期刊論文

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