Research on Privacy Preserving Data in Web Log Mining

Chang-bin Jiang, Li Chen
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引用次数: 3

Abstract

Researches on preserving private data in the application of web data mining possess practical value. Through introducing basic concepts of web log mining and private data protection, this paper analyzes the status quo of privacy preservation in web log mining, and then it puts forward privacy preserving mining model based on evolutionary algorithm of cloud model, combining with evolutionary algorithm and cloud model theory. This model utilizes digital features of cloud and transformation between its qualitative concept and quantitative value expression. Thus, this model effectively conceals sensitive data, realizes web log mining based on privacy preservation. Results of the experiment reveal the feasibility and superiority of applying evolutionary algorithm of cloud model to privacy preservation in web log mining.
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Web日志挖掘中隐私保护数据的研究
在web数据挖掘的应用中,对私有数据的保存进行研究,具有一定的实用价值。通过介绍web日志挖掘和私有数据保护的基本概念,分析了web日志挖掘中隐私保护的现状,结合进化算法和云模型理论,提出了基于云模型进化算法的隐私保护挖掘模型。该模型利用了云的数字化特征及其定性概念与定量价值表达之间的转换。因此,该模型有效地隐藏了敏感数据,实现了基于隐私保护的web日志挖掘。实验结果表明,将云模型进化算法应用于web日志挖掘中隐私保护的可行性和优越性。
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