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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Instance Selection in Logical Rule Extraction for Regression Problems
verfasst von : Mirosław Kordos, Szymon Białka, Marcin Blachnik
Erschienen in: Artificial Intelligence and Soft Computing
Verlag: Springer Berlin Heidelberg
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The paper presents three algorithms of instance selection for regression problems, which extend the capabilities of the CNN, ENN and CA algorithms used for classification tasks. Various combinations of the algorithms are experimentally evaluated as data preprocessing for regression tree induction. The influence of the instance selection algorithms and their parameters on the accuracy and rules produced by regression trees is evaluated and compared to the results obtained with tree pruning.