Reference no: EM132665537

Privacy-Preserving Data Mining

Data mining technology can be exploited to reveal sensitive information from the original data. Thus it is important to preserve the privacy of the parties that the data refer to while utilizing the data for data mining analysis. k-anonymity is one of the methods developed for such privacy-preserving data mining. It has drawn significant amount of interest in the field and has spawned scores of further research work.

In this article review assignment, you will find a peer-reviewed research article (aside from the module's "Reading & Study" materials) on the topic of k-anonymity and privacy-preserving data mining, and write a review after reading it. The article you selected should be published within the last few years. The primary goal of the review is to thoroughly understand the proposed method in the article, instead of judging it good or bad, right or wrong. Your review should include, but is not limited to, the following sections:

- Introduction to privacy-preserving data mining and k-anonymity

- The selected article's proposed method/approach based upon k-anonymity

- Discussion on how the proposed method/approach addresses and mitigates privacy concerns in data mining.