Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
In association rules mining, current trend is witnessing the emergence of a growing number of works toward bringing negative items to light in the mined knowledge. However, the amo...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...