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- W2389496747 abstract "With the expansion of college and university enrollments,the employment of university graduates is becoming difficult,and the situation is getting more grim.Mining the student employment-related data,some potential rules and hidden patterns of student employment can be found,so as to guide the decision-making for the provision of careers guidance and to promote the employment of college students.Decision tree classification method is an effective data mining method,but the method can not handle data ambiguity and uncertainty.In this paper,the authors present a fuzzy decision tree data mining algorithms into university employment to solve the ambiguity and uncertainty of data problems,and the resulted knowledge is natural and easy to understand,and has a stronger classification ability and robustness." @default.
- W2389496747 created "2016-06-24" @default.
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- W2389496747 date "2012-01-01" @default.
- W2389496747 modified "2023-09-28" @default.
- W2389496747 title "Data mining in student's employment based on fuzzy decision tree" @default.
- W2389496747 hasPublicationYear "2012" @default.
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