MS-FIMU (Mobility Scenario FIMU)
Introduced by Arcolezi in Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning
Open Dataset: Mobility Scenario FIMU
- An open, multidimensional (6 categorical attributes), and synthetic dataset of faked virtual humans generated by an optimization approach applied to a real-life call-detail-records-based anonymized database.
- The original database is from a mobile network operator in France (Orange), which collects statistics on the frequency of users on days and union of days through analyzing mobile phone data (i.e., call detail records). The period of the analysis is 7 days from 2017-05-31 to 2017-06-06.
- This dataset can be used for classification tasks and for evaluating (locally) differentially private mechanisms on multidimensional data.
Papers
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