| Summary: | 碩士 === 銘傳大學 === 應用統計資訊學系碩士班 === 104 === At an era of information explosion, a lof of datas we could analysis.In order to solve this problem, the technology of data mining used to deal with the big data. How to apply the technology of data mining to explore the real necessary information that is the key points during search we want to know.
In this study, data were collected form interest inventory of Career&Competercy Assessement Network (UCAN) and the survey system of students graduated after one year. Those students were studied on 2008-2010 year in M university. Using the database builded a model with data mining, and predict the accuracy of the model. In addition, in this study we were combined with the John Holland’s theory (1985). There were compared that combined with the actual carrer after that survey system of students graduated after one year.
In study, we dicovening something. First, that accuracy with use the data mining to build a model was better than UCAN database. And then the accuracy of model combined with Holland’s theory would more better. Second, we discovered the relationship between the interest inventory, divided into 16 career types UCAN database and 6 career type of Holland’s theory. After analysis the data, could found some topic and some types with strong relationship.
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