Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
We present CoLe, a cooperative data mining approach for discovering hybrid knowledge. It employs multiple different data mining algorithms, and combines results from them to enhan...
Vulnerabilities such as buffer overflows exist in some programs, and such vulnerabilities are susceptible to address injection attacks. The input data tracking method, which was ...
Although most of existing research usually detects events by analyzing the content or structural information of Web documents, a recent direction is to study the usage data. In th...
This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data points, we define a statistic...
Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, S...