Research on privacy preserving in mining sequential pattern
序列模式挖掘中的隐私保护方法研究*

At present, the research on the privacy preserving of the sequential pattern mining is very small. For this problem, this paper presented an effective algorithm to hide sensitive sequences which named CLSDA(current least sequences delete algorithm). This algorithm set weights to the candidate, in the process updates the weights at any moment, and used greedy algorithm to gain the local best solution, to do least changes with the original database. The experiment shows that the algorithm is more effective than SDRF algorithm.