This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
One of the most important operations involving Data Mining patterns is computing their similarity. In this paper we present a general framework for comparing both simple and comple...
Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Ma...
This paper utilizes Ant-Miner – the first Ant Colony algorithm for discovering classification rules – in the field of web content mining, and shows that it is more effective th...
We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
We review some approaches to qualitative uncertainty and propose a new one based on the idea of Absolute Order of Magnitude. We show that our ideas can be useful for Knowledge Disc...