Refinando Regras de Conhecimento por meio de Exceções

Ronaldo Cristiano PratiMaria Carolina MonardAndré C. P. L. F. de Carvalho

The search for patterns in datasets is a fundamental task in Data Mining, where Machine Learning algorithms are generally used. However, Machine Learning algorithms mainly aim to generate hypothesis that strengthen the classification task, not taking exceptions into consideration. Exceptions contradict common sense rules. They are generally unknown, unexpected and contradictory to the user believes. For these reasons, exceptions are bound to be interesting. In this work, we propose a method to find exceptions out from common sense rules. Besides that, we apply the proposed method in a real world dataset, to discover rules in the HIV virus protein cleavage process. Clique no link abaixo para buscar o texto completo deste trabalho na Web: Buscar na Web

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