Privacy-Preserving Data Mining (PPDM)

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.