@inproceedings{37e5d868b90d4e64aaef65abd8d1750b,
title = "Supply chain product optimal configuration based on data mining",
abstract = "This paper takes customer preference sequence data and proposes a relationship model between customer preference orientation and customer characteristics which use the characteristics of the supply chain to draw on symbolic sequence clustering. It focuses on the study of symbol sequence data properties, and analyzes the essence of preference symbol sequence clustering based on symbolic sequencing in both formalized and materialized ways. It studies the application of the self-organizing feature map as a symbol sequence clustering algorithm, and makes the comparison between clustering models so that the.",
keywords = "Data mining, Optimal allocation, Symbol sequence clustering",
author = "Zheng, \{Hong Zhen\} and Chu, \{Dian Hui\} and Xu, \{Chun Jiao\}",
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 = "10.3233/978-1-61499-619-4-363",
language = "英语",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "363--368",
editor = "Gang Chen and Feng Liu and Mohammad Shojafar",
booktitle = "Fuzzy System and Data Mining - Proceedings of FSDM 2015",
address = "荷兰",
}