Applying Class-Imbalanced Data Mining to the Slip Analysis of Rough Mills

碩士 === 義守大學 === 資訊工程學系 === 102 === The main purpose of this study is applying the class-imbalanced data mining techniques to analyze the contributing factors and predict the occurrence of the slip phenomenon of rough mills in an iron and steel works. The slip phenomenon is caused by the imbalanced m...

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Bibliographic Details
Main Authors: Ting-Rung Yang, 楊婷容
Other Authors: Chen-Sen Ouyang
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/12353299402200041479