- https://doi.org/10.21936/si2011_v32.n2a.275
Data mining and an efficiency of decision suppert systems
- Jun 1, 2011
- Digital Library of the Silesian University of Technology (Silesian University of Technology)
- Agnieszka Nowak-Brzezińska
Abstract
The paper presents the results of the experiments in which an efficiency of decision support systems is analyzed. During the research it was noted that the most influenced on such efficiency is the method of representation of knowledge base. Following approaches are considered due to experiments: rules knowledge base with clusters of decision rules, rules knowledge base with partial decision rules and rules knowledge base with clusters of partial decision rules. The efficiency of choosing the best similarity measure is also analyzed.
- # Rules Knowledge Base
- # Efficiency Of Decision Support Systems
- # Partial Decision Rules
- # Similarity Measure
- # Data Mining
- # Knowledge Base
- # Decision Support Systems
- # Efficiency
- # Knowledge
- # Decision Rules
