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Erschienen in:
2011 | OriginalPaper | Buchkapitel
A Feedback Comprehensive Evaluation Method with Data Mining
verfasst von : Wu Xie, Huimin Zhang, Zengshan Meng
Erschienen in: Advanced Research on Computer Education, Simulation and Modeling
Verlag: Springer Berlin Heidelberg
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There was a problem that it was difficult to carry out a synthetic evaluation of mass records in database or data warehouse with traditional ways, and a feedback comprehensive evaluation method based on data mining was presented. It was completed in five steps through a feedback control system. Case study shows that the decision trees or association rules from the mining results can perform the comprehensive assessment. The puzzle that large-scale data objects is too complicate to assess at the same time is solved with this method, which improves assessment efficiency and quality greatly, reducing the workload for decision support. It is an effective complement to the traditional evaluation theory.