| dc.contributor | 資管系 | |
| dc.creator (作者) | Yu, Chien-Chih;Wang, Cheng Su | |
| dc.creator (作者) | 余千智;王貞淑 | zh_TW |
| dc.date (日期) | 2006 | |
| dc.date.accessioned | 21-Jul-2015 15:05:46 (UTC+8) | - |
| dc.date.available | 21-Jul-2015 15:05:46 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-Jul-2015 15:05:46 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76739 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006, Volume 2006, 論文編號 CIEF-113 | |
| dc.subject (關鍵詞) | Marketing strategy; Multidimensional data; Returns policy; Returns transactions; Customer satisfaction; Marketing; Mathematical models; Optimization; Product development; Profitability; Data mining | |
| dc.title (題名) | A hybrid mining approach for optimizing returns n policies in e retailing | |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.2991/jcis.2006.43 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.2991/jcis.2006.43 | |
