An experiment with association rules and classification: post-bagging and conviction
In this paper we study a new technique we call post-bagging, which consists in resampling parts of a classification model rather then the data. We do this with a particular kind of model: large sets of classification association rules, and in combination with ordinary best rule and weighted voting a...
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| Format: | conferencePaper |
| Language: | eng |
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2005
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| Online Access: | http://hdl.handle.net/1822/4295 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/4295 |