Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/136
Título: KDD, SEMMA and CRISP-DM: a parallel overview
Autor: Azevedo, Ana Isabel Rojão Lourenço
Santos, Manuel Filipe
Palavras-chave: Data mining standards
Knowledge discovery in databases
Data mining
Data: 2008
Resumo: In the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Included on these efforts there can be enumerated SEMMA and CRISP-DM. Both grow as industrial standards and define a set of sequential steps that pretends to guide the implementation of data mining applications. The question of the existence of substantial differences between them and the traditional KDD process arose. In this paper, is pretended to establish a parallel between these and the KDD process as well as an understanding of the similarities between them.
URI: http://hdl.handle.net/10400.22/136
Aparece nas colecções:ISCAP - Informática - Comunicações em eventos científicos

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