Privacy-preserving data mining and k-anonymity

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Reference no: EM132143101

INSTRUCTIONS

PRIVACY-PRESERVING DATA MINING

Data mining technology can be exploited to reveal sensitive information from the original data. Thus it is important to preservethe 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 offurther 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 followingsections:

- Introduction to privacy-preserving data mining and k-anonymity
- The selected article's proposed method/approachbased uponk-anonymity
- Discussion on how the proposed method/approach addresses and mitigates privacy concerns in data mining
- Summary

Your reviewshould containat least 1,000 words. Biblical worldview should be integrated in an appropriate manner and supported by Scripture. In addition to the module's "Reading & Study" materials, a minimum of 3 references is required for this assignment and be sure to include complete reference information.

Your submission should follow current APA formatting style and for guideline details, please refer to the current edition of the APA publication manual.

Verified Expert

In this report we have discussed about data mining and its algorithm where we have shown different type of algorithm which is used in data mining process.We have discussed about benefits of data mining in different fields and how it is used to protect data .

Reference no: EM132143101

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11/24/2018 1:09:01 AM

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