顾及数据不确定性的关联规则显著性检验方法及装置

Translated title of the contribution: Association rule significance test method and device capable of considering data uncertainty

Wen Zhong Shi (Inventor), Anshu Zhang (Inventor)

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Abstract

本发明适用于数据挖掘技术领域,提供了顾及数据不确定性的关联规则显著性检验方法及装置。所述方法包括:获取关联规则,并判断获取的所述关联规则是否为高效规则;若所述关联规则不为所述高效规则,则认为所述关联规则为虚假规则;若所述关联规则为所述高效规则,则对所述关联规则进行统计检验,并判断所得检验统计量的值是否低于预设显著性水平,若是,则接受所述关联规则为真实规则;若否,则认为所述关联规则为虚假规则。本发明基于统计健全检验法,能将族错误率控制在较低水平;修正随机数据误差对所述统计检验运算的影响,由此显著恢复由于随机数据误差引起的统计检验结果中真实规则的丢失,大大提高了关联规则挖掘结果的可靠性。
Translated title of the contributionAssociation rule significance test method and device capable of considering data uncertainty
Original languageChinese (Simplified)
Patent numberZL201510076329.0
IPC G06F16/2458
Filing date12/02/15
Publication statusPublished - 6 Sep 2019

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