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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Bibliographic Details
Main Author: Ezilda Almeida (author)
Other Authors: Petr Kosina (author), João Gama (author)
Format: book
Language:eng
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10216/83804
Country:Portugal
Oai:oai:repositorio-aberto.up.pt:10216/83804