Abstract
Internet Service Providers technical support needs personal data to predict potential anomalies. In this paper, we performed a comparative study of forecasting performance using raw data and anonymized data, in order to assess how much performance may vary, when plain personal data are replaced by anonymized personal data.
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https://mikrotik.com/thedude, [Online; accessed 02-May-2021].
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Campanile, L., Forgione, F., Marulli, F., Palmiero, G., Sanghez, C. (2021). Dataset Anonimyzation for Machine Learning: An ISP Case Study. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12950. Springer, Cham. https://doi.org/10.1007/978-3-030-86960-1_42
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