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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jorge, Alípio M., Azevedo, Paulo J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Association Rule Association Rule Mining Association rules Classification Computer science control theory systems Decision Tree Inducer Exact sciences and technology Frequent Itemset Frequent Pattern Mining Science & Technology
Online-Zugang:	Volltext
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