— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
Abstract. We describe the results of an empirical study comparing an interactive Information Visualization (InfoVis) technique called Gravi++ (GRAVI), Exploratory Data Analysis (ED...
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus ...
Many algorithms for processing probabilistic networks are dependent on the topological properties of the problem's structure. Such algorithmse.g., clustering, conditioning ar...
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Proponents of design notations tailored for specific application domains or reference architectures, often available in the form of UML stereotypes, motivate them by improved unde...
Filippo Ricca, Massimiliano Di Penta, Marco Torchi...