Decision Tree Algorithms: Integration of Domain Knowledge for Data Mining

机译：决策树算法：用于数据挖掘的领域知识集成

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The paper deals with integration of enterprise (domain) knowledge with data mining techniques. The decision tree algorithms CART, ID3, C4.5, CHAID are analyzed in the aspect of relations with enterprise model attributes (i.e. domain knowledge). It is expected, that integration of an enterprise knowledge base in to data mining techniques will improve the data analysis process. The detailed analysis of the modified decision tree algorithm C4.5, integrated with domain knowledge is described. The alignment of business domain attributes used in the decision tree algorithms with the attributes of EM components is defined.

机译：本文讨论了企业（领域）知识与数据挖掘技术的集成。在与企业模型属性（即领域知识）的关系方面分析了决策树算法CART，ID3，C4.5，CHAID。可以预期，将企业知识库与数据挖掘技术相集成将改善数据分析过程。描述了结合领域知识的改进决策树算法C4.5的详细分析。定义了决策树算法中使用的业务域属性与EM组件属性的对齐方式。

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来源
《Business information systems workshops》|2012年|13-24|共12页
会议地点 Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT);Vilnius(LT)
作者
Aukse Stravinskiene; Saulius Gudas; Aiste Dabrilaite;
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作者单位

Kaunas Faculty of Humanities of Vilnius universitety, Muitines st. 8, Kaunas, LT-44280, Lithuania;

Kaunas Faculty of Humanities of Vilnius universitety, Muitines st. 8, Kaunas, LT-44280, Lithuania;

Kaunas Faculty of Humanities of Vilnius universitety, Muitines st. 8, Kaunas, LT-44280, Lithuania;

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正文语种 eng
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关键词
data mining; domain knowledge; decision tree algorithms; modified algorithm C4.5;

机译：数据挖掘;领域知识;决策树算法；修改后的算法C4.5;

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Decision Tree Algorithms: Integration of Domain Knowledge for Data Mining

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