Construction of Associative Algorithms of Frequent Invasion Sequence based on Privacy-Processing

摘要

In order to work on research on analysis the relationship of invasive alarm, establish a net-safe frame integrated technology of privacy processing. The mining algorithms of K- Frequent Patterns is improved in research on quantity of invasive alarm, a generalization measure method has been proposed which focus on effectiveness, by improving the algorithms, bring out associative algorithms of frequent invasion sequence with privacy-processing integrated, privacy-processing of invasive alarm data has been achieved effectively. Experiment shows that the association rules which get from improved algorithms are available, and the improved algorithms have the ability to protect the sensitive information. A conclusion has been made from the results: After privacy-processing, the frequent invasion sequence algorithms have preferable validity, scalability and mining performance.