Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
Advances in agent technologies have fueled interest towards combining agent-based techniques with tools from data mining. Furthermore, the advent of the ubiquitous computing paradi...
Petteri Nurmi, Michael Przybilski, Greger Lind&eac...
Intrusion detection is an important part of networkedsystems security protection. Although commercial products exist, finding intrusions has proven to be a difficult task with l...
Cristina Abad, Jed Taylor, Cigdem Sengul, William ...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...