【摘要】 FP-Growth算法通过直接压缩数据库构建频繁模式树,然后FP-Tree使用FP-Tree(Tree,null)来完成挖掘。将关联规则的方法运用到高校贫困生认定中,从一卡通海量消费信息中进行数据挖掘,找到学生的贫困度与一卡通消费信息的关联关系,进而为贫困生的认定提供依据。更多还原

【Abstract】 TFP-Growth algorithm constructs the frequent pattern tree with direct compressed database, and FP-Tree uses FP-Growth(Tree,null) to fulfill the data mining. If we apply this method to the recognition of poverty-stricken students and conduct the data mining from the mass consumption information in the campus all-purpose cards, we could find out the correlations between the degrees of poverty and their consumption information so as to provide evidence for recognizing poverty-stricken students.更多还原