We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Regression testing, as it's commonly practiced, is unsound due to inconsistent test repair and test addition. This paper presents a new technique, differential testing, that ...
In the present paper, a method for detecting changes between two images of the same scene taken at different times using their joint intensity histogram is proposed. First, the jo...
Instead of relying completely on machine intelligence in anomaly event analysis and correlation, in this paper, we take one step back and investigate the possibility of a human-int...
Soon Tee Teoh, Kwan-Liu Ma, Shyhtsun Felix Wu, Dan...
In a data warehouse (DW) environment, when the operational environment does not posses or does not want to inform the data about the changes that occurred, controls have to be impl...
Rosana L. de B. A. Rocha, Leonardo Figueiredo Card...