Using a Data Metric for Preprocessing Advice for Data Mining Applications

This paper describes research that is performed in the course of a project where a methodology for providing user support for KDD processes plays a central role. Although methodologically we aim at supporting the whole process of applying inductive learning techniques, the current paper focussus on a part of this process. The main issue in this paper is the support of data preprocessing for KDD. We give some insights in the metadata we calculate from a dataset as part of the method for user support. DCT (Data Characteristion Tool) is implemented in a software environment (Clementine). Some examples are given that resulted from running the UGM/DCT (User Guidance Module combined with DCT) on the data.