Towards a practical approach to discover internal dependencies in rule-based knowledge bases

Authors:
Roman Simiński;Agnieszka Nowak-Brzezińska;Tomasz Jach;Tomasz Xięski
Affiliations:
University of Silesia, Institute of Computer Science, Sosnowiec, Poland;University of Silesia, Institute of Computer Science, Sosnowiec, Poland;University of Silesia, Institute of Computer Science, Sosnowiec, Poland;University of Silesia, Institute of Computer Science, Sosnowiec, Poland
Venue:
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Year:
2011

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Abstract

In this paper, we intend to introduce the conception of discovering the knowledge about rules saved in large rule-based knowledge bases, both generated automatically and acquired from human experts in the classical way. This paper presents a preliminary study of a new project in which we are going to join the two approaches: the hierarchical decomposition of large rule bases using cluster analysis and the decision units conception. Our goal is to discover useful, potentially implicit and directly unreadable information from large rule sets.