| Popis: |
Empirical study on intelligent formative evaluation of English guiding performance assisted by Java system and data mining is conducted in this paper. In MDD, the application is abstracted into the high-level model. Through the interpretation or execution of the model, the abstract model can be then automatically converted into executable software code. Based on this technique background, we introduce the intelligent data mining model to optimize the traditional pipeline. The test on the massive data sets have proven the effectiveness. For the scenario demonstration, we apply the proposed model into the intelligent formative evaluation of English guiding performance with J2EE. |
