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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 49551 (02)
- University: Sharif University of Technology
- Department: Mathematical Sciences Computer
- Advisor(s): khazaei, Shahram
- Abstract:
- Increasing use of new data technologies have made data collection possible in large scales. Practicallity of the data relies upon the extraction of meaningful knowledge.Data mining is a solution to this problem. One of the new areas in data mining is consideration of the concern of privacy alongside the usefulness of the mining results.Main goal of privacy preserving data mining is to develop data mining models which only extract the useful knowledge. In recent years, many researches have been done in this area. Since the literature and notation of these published works vary, a survey would help to better understand these concepts. This thesis tries to explain, analyse,unify and categorize these published works
- Keywords:
- Privacy Preserving Date Mining ; Data Mining ; Data Perturbation ; Secure Multiparty Computation (SMC) ; Association Rules ; Differential Entropy Continuity ; Differential Privacy
- محتواي کتاب
- view
- فهرست جداول
- فهرست تصاویر
- مقدمه
- تصادفی سازی
- گمنامسازی گروهی
- حفظ حریم خصوصی توزیعشده
- حریم خصوصی تفاضلی
- کاوش قوانین انجمنی حافظ حریم خصوصی
- جمعبندی
- مراجع
- واژهنامه فارسی به انگلیسی و نمایه
- واژهنامه انگلیسی به فارسی
- چکیده انگلیسی