An Improved Algorithm for Privacy-preserving Data Mining Based on NMF

摘要

With the development of data mining technologies, privacy protection is becoming a challenge for data mining applications in many fields. To solve this problem, many PPDM (Privacy-preserving Data Mining) methods have been proposed. One important PPDM method is based on NMF (Non-negative Matrix Factorization). This paper proposed an improved NMF-based PPDM method. Compared to the original one, this new method can keep data utility well and protect privacy better.