1. A computer-implemented method of developing a classifier, comprising: receiving input for a case, the case comprising a plurality of instances and an example, the example comprising a plurality of data fields each corresponding to one of the plurality of instances, wherein the input indicates which one, if any, of the plurality of instances includes a data field belonging to a target class; and training the classifier based, at least in part, on the input from the trainer.