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    题名: A hybrid mining approach for optimizing returns n policies in e retailing
    作者: Yu, Chien-Chih;Wang, Cheng Su
    余千智;王貞淑
    贡献者: 資管系
    关键词: Marketing strategy;Multidimensional data;Returns policy;Returns transactions;Customer satisfaction;Marketing;Mathematical models;Optimization;Product development;Profitability;Data mining
    日期: 2006
    上传时间: 2015-07-21 15:05:46 (UTC+8)
    摘要: This paper aims at proposing a hybrid mining approach for e-retailers to analyze returns patterns from both the customer and product perspectives, classify customers and products by returns ratios, and then adopt proper returns policies and marketing strategies to the identified classes for reducing returns transactions and sustaining profits. A multidimensional data framework and a process model for the hybrid mining approach are presented with a simulated example for validation.
    關聯: Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006, Volume 2006, 論文編號 CIEF-113
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.2991/jcis.2006.43
    DOI: 10.2991/jcis.2006.43
    显示于类别:[資訊管理學系] 會議論文

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