Fast and Optimal Differentially Private Frequent-Substring Mining

Fast and Optimal Differentially Private Frequent-Substring Mining explores A novel algorithm for efficient and privacy-preserving frequent substring mining from user-contributed strings.. Commercial viability score: 4/10 in Privacy-Preserving Data Mining.