Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
We present in this paper an interactive method for numeric or symbolic data visualization that allows a domain expert to extract useful knowledge and information. We propose a new ...
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...