Application of decision trees in the development of a knowledge base for a system of support for revitalization processes

Abstract

The objective of the paper was to develop an efficient system supporting the management of degraded areas and their revitalization. The author developed a knowledge base for a system of assessment and support of revitalization processes through the application of selected data mining methods. The database included more than 100 objects for which approximately 100 attributes on different measurement scales were collected. The analysis of the collected data involved the application of decision trees. The intermediate goal was the determination of the applicative potential of properly transformed spatial data for the requirements of revitalization procedures. The studies carried out represent early work in this scientific field, and the author provides a methodological basis for further research.