Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/76739


Title: A hybrid mining approach for optimizing returns n policies in e retailing
Authors: Yu, Chien-Chih;Wang, Cheng Su
余千智;王貞淑
Contributors: 資管系
Keywords: Marketing strategy;Multidimensional data;Returns policy;Returns transactions;Customer satisfaction;Marketing;Mathematical models;Optimization;Product development;Profitability;Data mining
Date: 2006
Issue Date: 2015-07-21 15:05:46 (UTC+8)
Abstract: 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.
Relation: Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006, Volume 2006, 論文編號 CIEF-113
Data Type: conference
DOI 連結: http://dx.doi.org/10.2991/jcis.2006.43
Appears in Collections:[資訊管理學系] 會議論文

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