Privacy and data mining : evaluating the impact of data anonymization on classification algorithms

Privacy and data mining : evaluating the impact of data anonymization on classification algorithms

Hebert O. Silva, Tania Basso, Regina Moraes

ARTIGO

Inglês

Agradecimentos: This work has been partially supported by the project EUBra-BIGSEA (www.eubra-bigsea.eu), funded by the Brazilian Ministry of Science, Technology and Innovation (Project 23614 - MCTI/RNP 3rd Coordinated Call) and by the European Commission under the Coope

Data anonymization is a technique used to increase the assurance that private data is not accessible to third parties. In data mining processes, anonymization can impact the results, since anonymized data may hinder the data analysis performed by algorith

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Privacy and data mining : evaluating the impact of data anonymization on classification algorithms

Hebert O. Silva, Tania Basso, Regina Moraes


										

Privacy and data mining : evaluating the impact of data anonymization on classification algorithms

Hebert O. Silva, Tania Basso, Regina Moraes

    Fontes

    2017 13th European Dependable Computing Conference (EDCC)

    (Dec., 2017), p. 111-116