@inproceedings{001f7d4415824599aab54f443070d31f,
title = "Finding the region dependent merchandises in non-defective reverse logistics: A novel association rules based approach",
abstract = "Finding the relationship between hot merchandises and region is a new challenge in non-defective reverse logistics (NRL). In this paper, it was found that the similarity of merchandise categories purchased by users among the same region is higher than the users in different regions by analyzing the data from an Alibaba e-commerce platform. Then, an Association Rules based approach (ARA) was proposed to find the merchandises dependent region and create the points of NRL. Experimental results show that this method could decrease the distance between the user and the e-store, reduce the transportation cost in NRL and shorten the time of the logistic cycle. In addition, the quality of the reverse logistics (RL) services will be improved and customers' satisfaction will be indirectly enhanced.",
keywords = "Association Rules Mining, Association Rules based approach (ARA), Non-defective reverse logistics (NRL)",
author = "Shao, \{Ming Shun\} and Zheng, \{Hong Zhen\} and Chu, \{Dian Hui\}",
note = "Publisher Copyright: {\textcopyright} 2016 The authors and IOS Press. All rights reserved.; 2015 International Conference on Fuzzy System and Data Mining, FSDM 2015 ; Conference date: 12-12-2015 Through 15-12-2015",
year = "2016",
doi = "10.3233/978-1-61499-619-4-358",
language = "英语",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "358--362",
editor = "Gang Chen and Feng Liu and Mohammad Shojafar",
booktitle = "Fuzzy System and Data Mining - Proceedings of FSDM 2015",
address = "荷兰",
}