: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Data Grids have been adopted as the next-generation platform by many scientific communities that need to share, access, transport, process and manage large data collections distri...
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
Our objective is a comparison of two data mining approaches to dealing with imbalanced data sets. The first approach is based on saving the original rule set, induced by the LEM2 ...
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon...
FPGAs have appealing features such as customizable internal and external bandwidth and the ability to exploit vast amounts of fine-grain parallelism. In this paper we explore the ...