通过对决策树算法的深入分析，我们围绕着C4.5决策树生成算法建立了一个分类预测系统并实现了与劳动力市场信息管理系统（LMIS）的集成。
With the thorough analysis on the algorithm of decision tree induction, we established a classification and prediction system based on C4.5 and accomplished the integration with the LMIS system.
结合粗糙集理论中的上下近似理论与图论中的最小生成树算法提出了粗糙最小生成树算法，并构造了确定性最小生成树和可能性最小生树。
Combination with upper and lower approximation of Rough sets theory and MST algorithm presents Rough MST algorithm, and constructs certain MST and uncertain MST.
结合粗糙集理论中的上下近似理论与图论中的最小生成树算法提出了粗糙最小生成树算法，并构造了确定性最小生成树和可能性最小生树。
Combination with upper and lower approximation of Rough sets theory and MST algorithm presents Rough MST algorithm, and constructs certain MST and uncertain MST.
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