An effective scheme for top-k frequent itemset mining under differential privacy conditions

摘要

＜正＞Dear editor,Frequent itemset mining （FIM） is important in many data mining applications [1], such as web log mining and trend analysis. However, if the data are sensitive （e.g., web browsing history）, directly releasing frequent itemsets and their support may breach user privacy. The protection of user privacy while obtaining statistical information is im-