Impact of Data Perturbation for Statistical Disclosure Control on the Predictive Performance of Machine Learning Techniques

The rapid accumulation and release of data have fueled research across various fields. While numerous methods exist for data collection and storage, data distribution presents challenges, as some datasets are restricted, and certain subsets may compromise privacy if released unaltered. Statistical d...

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Bibliographic Details
Published inJournal of Data Science Vol. 23; no. 2; pp. 312 - 331
Main Authors Johnson III, Thomas, Mostafa, Sayed A.
Format Journal Article
LanguageEnglish
Published 中華資料採礦協會 01.04.2025
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