Anh-Tu Hoang

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This paper records the classiication performance of the LMDT algorithm on 26 Irvine datasets. In a shoot-out with other well-known supervised learning algorithms, LMDT is the best classiier in the majority of cases. This work seeks to examine the reasons for these results , in data analysis terms, and uses the visualisation tool, Xgobi, to generate(More)
Sharing information is one of the most important parts of social activities. However, sharing information can leak users' information. Removing all direct identifiers is not enough. Sweeney proposed an approach that applying k-anonymity to protect users' identities from linking attack. Sweeney`s algorithm finds out the optimal anonymized dataset through(More)
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