模具工业
模具工業
모구공업
DIE & MOUID INDUSTRY
2014年
11期
4-7
,共4页
履约%决策树%数据挖掘%C4.5算法%模具制造
履約%決策樹%數據挖掘%C4.5算法%模具製造
리약%결책수%수거알굴%C4.5산법%모구제조
performing%decision tree%data mining%C4.5 algorithm%die & mould manufactur-ing
针对模具制造企业的订单履约预测问题，采用C4.5决策树算法在Weka平台上进行了案例建模，分析了履约数据中履约状态与订单属性之间隐藏的内在联系，最终得到了履约数据决策树，并从中获取了规则知识。结果表明，该算法能正确地将履约数据进行分类，并得到若干有价值的结论，以供决策分析。
針對模具製造企業的訂單履約預測問題，採用C4.5決策樹算法在Weka平檯上進行瞭案例建模，分析瞭履約數據中履約狀態與訂單屬性之間隱藏的內在聯繫，最終得到瞭履約數據決策樹，併從中穫取瞭規則知識。結果錶明，該算法能正確地將履約數據進行分類，併得到若榦有價值的結論，以供決策分析。
침대모구제조기업적정단리약예측문제，채용C4.5결책수산법재Weka평태상진행료안례건모，분석료리약수거중리약상태여정단속성지간은장적내재련계，최종득도료리약수거결책수，병종중획취료규칙지식。결과표명，해산법능정학지장리약수거진행분류，병득도약간유개치적결론，이공결책분석。
In view of the problem in predicting order performing status of die & mould man?ufacturing enterprises, the C4.5 decision tree algorithm was used to build the case models on the Weka platform in which the hidden inner link between the performing status and or?der properties in the order performing data was analyzed. Finally the decision tree of order performing data was got and from which was the rules knowledge received. The results show that the algorithm can basically correctly classify the order performing data and get some valuable conclusions for decision analysis.
