南京大学学报(自然科学版) ›› 2017, Vol. 53 ›› Issue (6): 1063.
陈辉皇1,2,林耀进1,2*,林国平3,唐 莉1,2
Chen Huihuang1,2,Lin Yaojin1,2*,Lin Guoping3,Tang Li1,2
摘要: 多数据源高投票决策规则挖掘是指从多数据源中挖掘存在大部分数据源且具有重要意义的决策规则,此类规则在银行理财产品营销、市场营销、疾病诊断等领域中具有指导性作用.利用样本邻域粒化来构建决策规则的表现形式,在此基础上定义了覆盖度、投票数等多种决策规则的度量指标,用以挖掘满足这些度量指标的高投票决策规则.实验结果验证了所提算法挖掘多源决策信息系统中的高投票决策规则挖掘的有效性.
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