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Title:
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KDD, SEMMA AND CRISP-DM: A PARALLEL OVERVIEW |
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Author(s):
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Ana Azevedo , Manuel Filipe Santos |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Data Mining Standards, Knowledge Discovery in Databases, Data Mining. |
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Type:
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Poster/Demonstration |
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First Page:
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182 |
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Last Page:
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185 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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