ملخص
Data mining is a highly productive tool, while also a source for privacy violation. Privacy has become one of the most significant concerns in the digital era, mainly due to the information disclosure enabled by data mining. Privacy-preserving data mining (PPDM) is a collection of methodologies aimed to minimize and control the amount of private information disclosure in data mining processes. I present the various approaches to achieve PPDM: anonymization, randomization, cryptography, and privatizing results as well as various common methodologies and techniques used to implement these approaches.
اللغة الأصلية | الإنجليزيّة |
---|---|
عنوان منشور المضيف | Machine Learning for Data Science Handbook |
العنوان الفرعي لمنشور المضيف | Data Mining and Knowledge Discovery Handbook, Third Edition |
الصفحات | 887-911 |
عدد الصفحات | 25 |
رقم المعيار الدولي للكتب (الإلكتروني) | 9783031246289 |
المعرِّفات الرقمية للأشياء | |
حالة النشر | نُشِر - 1 يناير 2023 |