Wen Yu

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The performance of traditional classifier skews towards the majority class for imbalanced data, resulting in high misclassification rate for minority samples. To solve this problem, a combination classification algorithm based on outlier detection and C4.5 is presented. The basic idea of the algorithm is to make the data distribution balance by grouping the(More)
This paper proposes a methodology to improve the reusability of Finite Element Analysis (FEA) software using a program family approach. The usability and the maintainability are significant problems for a developer trying to properly reuse FEA software. Usability is promoted via systematically defined goals, assumptions, theoretical and computational(More)