Roman Simiński, Agnieszka Nowak-Brzezińska, Tomasz Jach, Tomasz Xięski
Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, Springer Berlin/Heidelberg, 2011, s. 232-237
Publication year: 2011

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.