A Method for Refining Knowledge Rules Using Exceptions
Keywords:
Data Mining, Machine Learning, Rule Learning, ExceptionAbstract
The search for patterns in data sets is a fundamental task in Data Mining, where Machine Learning algorithms are generally used. However, Machine Learning algorithms have biases that strengthen the classifica-tion task, not taking into consideration exceptions. Exceptions contra-dict common sense rules. They are generally unknown, unexpected and contradictory to the user believes. For this reason, exceptions may be interesting. In this work we propose a method to find exceptions out from common sense rules. Besides, we apply the proposed method in a real world data set, to discover rules and exceptions in the HIV virus protein cleavage process.
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Copyright (c) 2004 Ronaldo Cristiano Prati, Maria Carolina Monard, André C. P. L. F. de Carvalho
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