摘要
决策树算法是解决实际应用中分类问题的数据挖掘方法。本文针对当前矿业设备维护面临的实际问题,提出了用决策树分类算法对反映设备状态的属性进行分析,找出设备状态的分类规则,预测设备运行状态或故障的早期征兆。从而为设备维护提供辅助决策信息。并给出了利用决策树算法(ID3)生成决策树的具体步骤。最后通过一个抽象的实例验证了该方法的可行性和实用性。
Decide-tree arithmetic is a kind of data mining method which does with classification about questions in fact. In order to solve the questions of mining equipment maintenance, this paper uses decide-trec arithmetic to analyze the attributes of equipment state,find the rule of equipment state, accordingly forecast this equipment' s running state and the early omen of malfunction, sequentially provide decision assistant information for equipment maintenance, and gives the concrete steps of using decide-trec aritlnnetic to create a decision tree. At last using an abstract example proves that this method is viable and applied.
出处
《计算机与现代化》
2006年第10期23-25,共3页
Computer and Modernization
关键词
数据挖掘
知识发现
决策树算法
data mining
knowledge discovery in database
decide-tree arithmetic