A Comparison of the Effects of K-Anonymity on Machine Learning Algorithms
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چکیده
منابع مشابه
A Comparison of the Effects of K-Anonymity on Machine Learning Algorithms
While research has been conducted in machine learning algorithms and in privacy preserving in data mining (PPDM), a gap in the literature exists which combines the aforementioned areas to determine how PPDM affects common machine learning algorithms. The aim of this research is to narrow this literature gap by investigating how a common PPDM algorithm, K-Anonymity, affects common machine learni...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2014
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2014.051126