数据挖掘中的隐私问题与限制接近/控制理论

Privacy problems in Data Mining and the Restricted Access/Limited Control Theory of Privacy

大数据时代,数据挖掘技术得到广泛应用,但也引起了人们对个人隐私问题的担忧。数据挖掘技术引发的隐私问题具有独特性,给传统隐私理论提出了挑战。通过研究,分析了传统隐私理论在解释数据挖掘中的隐私问题时的理论困境,介绍了摩尔(James H.Moor)和塔瓦尼(Herman T.Tavani)的限制接近/控制理论及其对数据挖掘中隐私问题的解决,阐述了该理论在应用于数据挖掘中隐私问题时的优点和不足。

In the era of big data,data mining technology is widely used, but also arouses people＇ s concerns about privacy issues. Because privacy problems caused by data mining technology has its particularity, data mining technology has posed challenges to the traditional theory of privacy. Through research, this paper analyzes the theoretical dilemma of the traditional privacy theory in explaining the privacy problems of data mining, introduces Moor and Tavani＇ s the Restricted Access/Limited Control theory of privacy and its solution to the privacy problems in data mining,and elaborates the theory＇s advantages and disadvantages in the practice of data mining.