Application of Data Mining Techniques to Build Product Return Model-A Case Study of Panel Compan
碩士 === 健行科技大學 === 工業管理系碩士班 === 104 === In this study, five data mining techniques including discriminant analysis, three decision tree methods (CART, C4.5 and C5.0) and back-propagation neural network (BPN) are used to build product return forecasting model for the panel company. The results showed...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/748h8e |