data mining decision tree
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1. 信息增益,熵
2. ID3, C4.5, 基于信息增益的判定树构造 top-down divide-and-conquer algorithm, 每一步选择一个属性,使得信息增益最大。
3. mining association rules 挖掘关联规则 - AProri算法
coverage => support
accuracy => confidence
association rules are often used when attributes are binary - either present or absent - and most of the attribute values associated with a given instance are absent.
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