PABIDOT is a new perturbation algorithm for privacy-preserving big data classification that claims superior execution speed, scalability, attack resistance, and accuracy versus two related methods across nine datasets and five classifiers.
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Efficient privacy preservation of big data for accurate data mining
PABIDOT is a new perturbation algorithm for privacy-preserving big data classification that claims superior execution speed, scalability, attack resistance, and accuracy versus two related methods across nine datasets and five classifiers.