TBM, a transformation based method for microaggregation of large volume mixed data

Salari, Mostafa; Jalili, Saeed; Mortazavi, Reza

doi:10.1007/s10618-016-0457-y

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Cited by 5 publications

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“…See e.g. [13,17,18,22,24,26]. The problem of selecting a good partition of the variables is discussed in [19].…”

Section: Orgmentioning

confidence: 99%

Fuzzy clustering-based microaggregation to achieve probabilistic k-anonymity for data with constraints

Torra

2020

IFS

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Microaggregation is an effective data-driven protection method that permits us to achieve a good trade-off between disclosure risk and information loss. In this work we propose a method for microaggregation based on fuzzy c-means, that is appropriate when there are constraints (linear constraints) on the variables that describe the data. Our method leads to results that satisfy these constraints even when the data to be masked do not satisfy them.

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“…See e.g. [13,17,18,22,24,26]. The problem of selecting a good partition of the variables is discussed in [19].…”

Section: Orgmentioning

confidence: 99%