Hairdressers’ Annual Turnover Prediction by Using Support Vector Machines
碩士 === 國立臺中科技大學 === 資訊工程系碩士班 === 104 === In this paper we employ Support Vector Machines (SVM) to predict the annual turnover of hairdressers. Given the education level, experience year, age, gender, and some other attributes of a hairdresser, the annual turnover of the hairdresser can be predicted....
| 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/3x6bpp |