Tolun, Mehmet R.Sever, HayriGörür, Abdül Kadir2020-04-102020-04-102007Tolun, Mehmet R.; Sever, Hayri; Görür, A.Kadir, "Production and retrieval off rough classes in multi relations", GRC: 2007 IEEE International Conference On Granular Computing, Proceedings, pp. 192-198, (2007).9780769530321http://hdl.handle.net/20.500.12416/3043Organizational memory in today's business world forms basis for organizational learning, which is the ability of an organization to gain insight and understanding from experience through experimentation, observation, analysis, and a willingness to examine both successes and failures. This basically requires consideration of different aspects of knowledge that may reside on top of a conventional information management system. Of them, representation, retrieval and production issues of meta patterns constitute to the main theme of this article. Particularly we are interested in a formal approach to handle rough concepts. We utilize rough classifiers to propose a preliminary framework based on minimal term sets with p-norms to extract meta patterns. We describe a relational rule induction approach, which is called rila. Experimental results are provided on the mutagenesis, and the KDD Cup 2001 genes data sets.eninfo:eu-repo/semantics/closedAccessClassifierLogicOptimistic Estimate PruningP-Norm RetrievalRelational Rule InductionRough SetsRule Selection Strategies192198