Using a Data Metric for Preprocessing Advice for Data Mining Applications.
Robert Engels, C. Theusinger · 1998
. 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. 1 Introduction and Motivation As a result of its increasing popularity, an increasing number of machine learning applications were implemented. The more such applications were discussed the more it became clear that applying inductive algorithms is not as trivial as it sometimes might lo...