欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为了解决当前构建决策树算法中准确度与计算量之间的矛盾，根据粒计算理论，提出了利用叶枝粒之比的决策树构建算法：将条件属性按属性值划分为若干基本粒作为基本分配单位（叶重量），而将基本粒所对应的决策属性值的类别数量作为基本接受单位（枝数量），直接利用叶枝粒比判断确定划分属性，由所选划分属性自顶向下构造决策树。通过理论与实例分析结果表明了该算法简洁且准确性高。
英文摘要：
To solve the contradictions between accuracy and computation in the current construction of decision tree algorithm, a decision tree construction algorithm is proposed based on the grain ratio of the leaves and branches according to the grain compu- ting theory. The condition attribute by the values are divided into a number of basic grains as the allocation unit （leaf weight）, and the number of these grains corresponding to the classes of the decision attributes are as the basic accepted unit （the quantity of branches）, the partition attribute is directly determined by the grain ratio of the leaves and branches and the decision tree is built with the selected attribute from top to down. Through theoretical and experiment analysis, this algorithm is concise and ac- curate.
同期刊论文项目
同项目期刊论文
期刊信息
位置：