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machinelearingbasedalgorithm's Introduction

关联规则挖掘

  • 语言:Java

  • FP_Growth 算法

算法描述:

  1. 统计交易数据中每一个Item的个数

  2. 按统计结果从高到低对交易数据集中的每组Item 进行排序(先对统计结果进行排序,再对每条交易数据集进行排序)

  3. 构建树

  4. 根据设定的miniSupport(最小支持度)遍历树中每一个节点(即item)的count找出频繁项集

  5. 根据设定的miniConfidence(最小置信度)从频繁项集中找到强关联规则

备注:package(Fp_growthTree)中包含两种树的建立方式!

machinelearingbasedalgorithm's People

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