The interestingness and robustness of knowledge in incremental data mining

This paper represents the knowledge with timing rules in incremental data mining, focusing on the interest and robustness of knowledge. We can find the interesting knowledge from the conflict between history rules and current rules and the robust knowledge by computing the belief degree of history rules on the new data set.