Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
It is advocated here that integrating abstraction and modularity into the concept of point of view, and extending the view concept to the process itself (and not only to data used ...
In today's business where speed is of essence, an iterative development approach that allows the functionality to be delivered in parts has become a necessity and an effectiv...
Abstract. Data mining is an iterative process. Users issue series of similar data mining queries, in each consecutive run slightly modifying either the definition of the mined dat...
Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski,...
Abstract. Uncertainty is an inherent property of all living systems. Curiously enough, computational models inspired by biological systems do not take, in general, under considerat...