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 ...
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
Many tools for data mining are complex and require skills and experience to be used successfully. Therefore, data mining is often considered an art as much as science. This paper p...
The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have ...