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- W3138948198 abstract "Using police archives, we apply machine learning algorithms to predict corruption crimes in Italian municipalities during the period 2012-2014. We correctly identify over 70% (slightly less than 80%) of the municipalities that will experience corruption episodes (an increase in corruption crimes). We show that algorithmic predictions could strengthen the ability of the 2012 Italy’s anti-corruption law to fight white-collar delinquencies." @default.
- W3138948198 created "2021-03-29" @default.
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- W3138948198 date "2020-01-01" @default.
- W3138948198 modified "2023-09-27" @default.
- W3138948198 title "Predicting Corruption Crimes with Machine Learning. A Study for the Italian Municipalities" @default.
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- W3138948198 hasPublicationYear "2020" @default.
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