| Summary: | 碩士 === 國立中央大學 === 資訊管理研究所 === 91 === According to the researches, most of the dropouts are involved in the social criminal affairs. This situation are so concerned by us. This serious problem is something to with the waste of human power and educational resources. The hurt to our society of this problem is hard to count.
At present, the researches of this problem just focus on the cause of forming, guidance and the career developing of personnel. Therefore, this research’s purpose is about the possibility of data-mining research of the predictive system of the dropouts.
The approach of this research is to provide the predictive concept of the classification of cost-sensitive and use the questionnaire to collect the information of the real datum of the dropouts. Besides, This purpose of the research uses two different ways of algorithms, CART and C4.5, to approve its possibility so as to show the precise of the predictive system of dropouts could be effectively promote by the predictive model constructed by the CART algorithms, but “Unbalance Data Distribution Adjust Strategy” can not raise the predict effect of dropouts.
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