We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult
for the d...
One of the most utilized data mining tasks is the search for association rules. Association rules represent significant relationships between items in transactions. We extend the...
Oliver Schulte, Flavia Moser, Martin Ester, Zhiyon...
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...