Abstract

• Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" from data, without being explicitly programmed. Machine learning applications are classification, regression, clustering, density estimation and dimensionality reduction. The CN2 algorithm is a classification technique designed for the efficient induction of simple, comprehensible rules of form “if cond then predict class”, even in domains where noise may be present. This research used zoo dataset and passed it to CN2 Rule Induction. In this research, classification of some butterflies species by using rules induction with CN2 algorithm system has developed. In this system, there are 29 species of butterflies are classified. In this system, MS Visual Studio 2010 as a programming tool and MS SQL Server as for database development are used.