期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：6
页码：2240-2244
出版社：Engg Journals Publications
摘要：Data mining technology can analyze massive data and it play very important role in many domains, if it used improperly it can also cause some new problem of information security. Thus several privacy preserving techniques for association rule mining have also been proposed in the past few years. Various algorithms have been developed for centralized data, while others refer to distributed data scenario. Distributed data Scenarios can also be classified as heterogeneous distributed data and homogenous distributed data and we identify that distributed data could be partitioned as horizontal partition (a.k.a. homogeneous distribution) and vertical partition (a.k.a. heterogeneous distribution). In this paper, we propose an algorithm for secure association rule mining for vertical partition.
关键词：Data Mining; Association Rule Mining; Privacy Preserving; Web Log; Vertical Partition
