Incremental supervised classification for the MTE distribution: a preliminary study
Identifiers
Share
Metadata
Show full item recordDate
2007Abstract
In this paper we propose an incremental method for building classifiers in domains with very large amounts of data or for data streams. The method is based on the use of mixtures of truncated exponentials, so that continuous and discrete variables can be handled simultaneously.