文章基本信息

标题：Privacy Preservation using On Demand Computational of Gain using Vertical Partition
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作者：Ankita Jain ; Shubha Dubey ; Anurag Jain 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：3175-3179
出版社：TechScience Publications
摘要：Data mining means the extraction of some meaningful information so that analysis can be done quickly. But privacy is an important factor during the data mining process. Hence various techniques are implemented to provide privacy preservation in data mining. The existing technique implemented for privacy preservation in data mining provides efficient privacy at multi level trust [8]. But the technique implemented is not efficient in terms of computational time and error rate. Hence an efficient technique is implemented which is based on the concept of multiple parties for the computation of data mining. The proposed technique implemented here provides privacy preservation with less error rate and time
关键词：SSN; privacy preserving data mining; Multi;level trust; clustering; classification