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In this paper, we study the problem of designing a differentially private algorithm for mining maximal frequent sequences, which can not only achieve high data utility and a high degree of privacy, but also provide high time efficiency. To solve this problem, we present a new differentially private algorithm, which is referred to as DP-MFSM. DP-MFSM consists of three phases: pre-processing phase,...
In this paper, we study the problem of designing a differentially private FIM algorithm which can simultaneously provide a high level of data utility and a high level of data privacy. This task is very challenging due to the possibility of long transactions. A potential solution is to limit the cardinality of transactions by truncating long transactions. However, such approach might cause too much...
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