Looking for exceptions on knowledge rules induced from HIV cleavage data set

@inproceedings{Prati2004LookingFE,
  title={Looking for exceptions on knowledge rules induced from HIV cleavage data set},
  author={Ronaldo C. Prati and Maria Carolina Monard and Andr{\'e} Carlos Ponce de Leon Ferreira de Carvalho},
  year={2004}
}
The aim of data mining is to find useful knowledge out of databases. In order to extract such knowledge, several methods can be used, among them machine learning (ML) algorithms. In this work we focus on ML algorithms that express the extracted knowledge in a symbolic form, such as rules. This representation may allow us to “explain” the data. Rule learning algorithms are mainly designed to induce classification rules that can predict new cases with high accuracy. However, these sorts of rules… CONTINUE READING

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