This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
The cellular wireless market has begun the transition to data centric services including high speed internet access, video, high quality audio, and gaming. Communications technolo...
Data access and software exchange are often achieved over insecure networks such as the public Internet. System designers are therefore forced to be proactive with regard to verif...
We describe the Paraflow system for connecting heterogeneous computing services together into a flexible and efficient data-mining metacomputer. There are three levels of parallel...
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...