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International Conference on Computational Science and Its Applications

ICCSA 2021: Computational Science and Its Applications – ICCSA 2021 pp 589–597Cite as

Dataset Anonimyzation for Machine Learning: An ISP Case Study

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12950))

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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Notes

  1. 1.

    www.flyber.it.

  2. 2.

    https://mikrotik.com/thedude, [Online; accessed 02-May-2021].

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Author information

Authors and Affiliations

  1. Universitá degli Studi della Campania “L. Vanvitelli”, Dip. Matematica e Fisica, Caserta, Italy

    Lelio Campanile & Fiammetta Marulli

  2. GAM Engineering srlu, Caserta, Italy

    Fabio Forgione, Gianfranco Palmiero & Carlo Sanghez

Authors
  1. Lelio Campanile
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  2. Fabio Forgione
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  3. Fiammetta Marulli
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  4. Gianfranco Palmiero
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  5. Carlo Sanghez
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Corresponding author

Correspondence to Carlo Sanghez .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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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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  • DOI: https://doi.org/10.1007/978-3-030-86960-1_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86959-5

  • Online ISBN: 978-3-030-86960-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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