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基于知识依赖的决策树生成算法的研究 被引量:3

Research of an Algorithm for Generating Decision Trees Based on Knowledge Dependency
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摘要 本文对利用数据挖掘技术解决大数据量的处理问题进行了较深入的研究,基于粗糙集理论提出了基于知识依赖的属性约简方法。该方法能够快速有效地找出真正影响决策的属性。此外,又提出了以知识依赖为启发规则的决策树生成方法。该方法预测精度高,计算简便。 This paper studies the methods of processing massive data with data mining techniques, and proposes an attribute reduction method based on knowledge dependency with the rough set theory, which can quickly and effectively find the attributes that really affect decisions. In addition, the paper puts forth an algorithm for generating decision trees based on knowledge dependency,which features high prediction precision and easy computation.
作者 叶明凤
出处 《计算机工程与科学》 CSCD 2008年第7期108-109,113,共3页 Computer Engineering & Science
关键词 决策树 生成算法 知识依赖 decision tree generation algorithm knowledge dependency
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