Shifting Dataset to Preserve Data Privacy

Classification (of information); Data mining; E-learning; Large dataset; Learning systems; Classification tasks; Data attributes; Dataset shifts; Generative model; Kernel Density Estimation; Privacy preservation; Privacy preserving; Synthetic data; Data privacy

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Bibliographic Details
Main Authors: Pozi M.S.M., Bakar A.A., Ismail R., Yussof S., Rahim F.A., Ramli R.
Other Authors: 57219746822
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional
Description
Summary:Classification (of information); Data mining; E-learning; Large dataset; Learning systems; Classification tasks; Data attributes; Dataset shifts; Generative model; Kernel Density Estimation; Privacy preservation; Privacy preserving; Synthetic data; Data privacy