Improving the precision rate of the Two-stage Decision Model in the context of tourism decision-making via exploring Decision Tree, Multi-staged Binary Tree and Back Propagation of Error Neural Network
碩士 === 國立政治大學 === 資訊管理研究所 === 102 === The two-stage data mining technique for classifications in tourism recommendation system is necessary to connect user perception, decision criteria and decision purpose. In existed literature, hybrid data mining method combining Decision Tree and K-nearest neigh...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Online Access: | http://ndltd.ncl.edu.tw/handle/5xhjsr |