International Symposium on Intelligent Data Analysis (IDA-95), August 17-19, 1995, Baden-Baden, Germany
data analysis; data pre-processing; induction; machine learning applications; prétraitement des données; induction; applications de l'apprentissage machine
This paper first provides a brief overview of some frequently encountered real world problems in data analysis. These are problems that have to be solved through data pre-processing so that the nature of the data is better understood and the data analysis is performed more accurately and efficiently. The architecture of a data analysis tool for which a data pre-processing mechanism has been developed and tested is also explained. An example is then given of the use of this data pre-processing mechanism for two purposes: (i) to filter out a set of semiconductor data, and (ii) to find out more about the nature of these data and make the induction process more efficient.
Proceedings of the International Symposium on Intelligent Data Analysis (IDA-95).