SUPERVISED LEARNING IN DATA MINING USING TRANSFORMATION REGRESSION TECHNIQUE

The presented paper focuses on supervised learning in data mining and machine learning areas for small data sets. In the paper, the precision of data mining regression model is increased by special transformation technique, which transforms the original regression task into a new regression task, equivalent with the original. In the paper, transformation was successfully applied on synthetic and real data sets with positive results. (Abstract)