First, apologies for my poor English. I am working with incremental learning on concept of drift problem.
Standard versions of the classifier have not incremental learning. There are some algorithms for incremental learning, for instance into Weka API there are implementation of Hoeffding tree that have update classifier method.
But my question is this. We have a classifier builded with train dataset. To make a pseudo-incremental learning with this classifier is correct reset the classifier and rebuild it with train dataset plus new instance for each new instance?
For instance:
J48