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Yayın Differentially private attribute selection for classification(Işık Üniversitesi, 2015-06-18) Var, Esra; İnan, Ali; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans ProgramıAny study on processing or analyzing large data sets that contain personally sensitive data should conform against some form of privacy protection mechanism. Otherwise, malicious people can aceess these data sets to extract private information and use this private information in agency operations, blackmail, fraud or any other harmful actions. Importance and necessity of privacy preserving data mining is increasing day by day, hence public and government lawmakers, privacy advocates and the media are drawing more and more attention to this subject daily. This thesis proposes an approach to that selects features from a data set according to the differential privacy mechanism and implements this proposed solution on a popular data mining library called WEKA.
