Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
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...
This paper studies a text mining problem, comparative sentence mining. A comparative sentence expresses an ordering relation between two sets of entities with respect to some comm...
Presented are two novel solutions addressing issues in the application of automated data analysis techniques in the medical domain. The primary aim of our work is to provide medic...