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...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2005
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/4295 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/4295 |