Briefs

Aug 22, 2007. Released in June 2007, Weka4WS is a new tool designed to open the way for worldwide use of data mining services.

Developed at the University of Calabria Grid Computing Lab, Weka4WS extends the open source Weka toolkit for supporting distributed data mining on grid environments.

The original Weka provides a large collection of machine learning algorithms, written in Java, for data pre-processing, classification, clustering, association rules and visualization, which can be invoked through a common Graphical User Interface.

In Weka, the overall data mining process takes place on a single machine, since the algorithms can be executed only locally. Weka4WS extends Weka to support remote grid execution of the data mining algorithms through web services -- hence the 4WS.

Read more.