Using Anonymized Data for Classification

In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization techniques has resulted in a plethora of methods for anonymizing data under different privacy and utility assumptions. At...

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Bibliographische Detailangaben

Hauptverfasser:	Inan, A., Kantarcioglu, M., Bertino, E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Classification algorithms Computer science Data engineering Data mining Data privacy Drugs Euclidean distance Probability distribution Statistical distributions USA Councils
Online-Zugang:	Volltext bestellen
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