Abstract:
Considering the size of quantitative attribute values and categorical attribute values in databases, the paper presents two quantitative association rules mining methods considering privacy-preserving respectively, one bases on boolean association rules, the other bases on partially transform measure. To each approach, the privacy and accuracy are analyzed, and the correctness and feasibility are proved by experiments.
摘要： 根据数据库中量化属性值和分类属性值数量的不同,分别提出了基于布尔关联规则的量化关联规则隐私保持挖掘方法和基于部分变换机制的量化关联规则隐私保持挖掘方法。对于每一种方法都进行了隐私度和正确度分析,并通过实验证明了其正确性和可行性。
关键词:
量化关联规则,
隐私保持,
数据挖掘
CLC Number:
CHEN Ziyang, MA Zhaohong, LI Yujia, LIU Guohua. Privacy-preserving Mining Method of Quantitative Association Rule[J]. , 2005, 31(11): 83-.
陈子阳,马朝虹,李宇佳,刘国华. 量化关联规则的隐私保持挖掘方法[J]. , 2005, 31(11): 83-.