Random rules from data streams

Existing works suggest that random inputs and random features produce good results in classification. In this paper we study the problem of generating random rule sets from data streams. One of the most interpretable and flexible models for data stream mining prediction tasks is the Very Fast Decisi...

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Detalhes bibliográficos
Autor principal: Ezilda Almeida (author)
Outros Autores: Petr Kosina (author), João Gama (author)
Formato: book
Idioma:eng
Publicado em: 2013
Assuntos:
Texto completo:https://hdl.handle.net/10216/83804
País:Portugal
Oai:oai:repositorio-aberto.up.pt:10216/83804