Abstract
We describe a method of dealing with sets that contain missing information in case of classification task. The described method uses multi-stage scheme that induces and combines classifiers for complete parts of the original data. The principles of the proposed Missing Template Decomposition Method are presented together with general explanation of the implementation within the RSES framework. The introduced ideas are illustrated with an example of classification experiment on a real data set.
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Bazan, J.G., Latkowski, R., Szczuka, M. (2006). Missing Template Decomposition Method and Its Implementation in Rough Set Exploration System. In: Greco, S., et al. Rough Sets and Current Trends in Computing. RSCTC 2006. Lecture Notes in Computer Science(), vol 4259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908029_28
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DOI: https://doi.org/10.1007/11908029_28
Publisher Name: Springer, Berlin, Heidelberg
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