More than twelve years have elapsed since the first public release of WEKA. In that time, the
software has been rewritten entirely from scratch, evolved substantially and now …

WEKA is a popular machine learning workbench with a development life of nearly two
decades. This article provides an overview of the factors that we believe to be important to its …

Multi-label classification has rapidly attracted interest in the machine learning literature, and
there are now a large number and considerable variety of methods for this type of learning. …

While for initial experiments the included graphical user interface is quite sufficient, for in-depth
usage the command line interface is recommended, because it offers some functionality …

While for initial experiments the included graphical user interface is quite sufficient, for in-depth
usage the command line interface is recommended, because it offers some functionality …

While for initial experiments the included graphical user interface is quite sufficient, for in-depth
usage the command line interface is recommended, because it offers some functionality …

Data mining algorithms were used to develop models to forecast the outcome of leafroller
pest monitoring decisions on ‘Hayward’ kiwifruit crops in New Zealand. Using industry spray …

The development of data-mining applications such as textclassification and molecular profiling
has shown the need for machine learning algorithms that can benefit from both labeled …

Most databases employ the relational model for data storage. To use this data in a
propositional learner, a propositionalization step has to take place. Similarly, the data has to be …