Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
A cost model to estimate the effort of data mining projects (DMCoMo)
Año:2008
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
CRISP-DM is the standard to develop Data Mining projects. CRISP-DM proposes processes and tasks that you have to carry out to develop a Data Mining project. A task proposed by CRISP-DM is the cost estimation of the Data Mining project. In software development a lot of methods are described to estimate the costs of project development (SLIM, SEER-SEM, PRICE-S and COCOMO). These methods are not appropriate in the case of Data Mining projects because in Data Mining software development is not the first goal. Some methods have been proposed to estimate some phases of a Data Mining project, but there is no method to estimate the global cost of a generic Data Mining project. The lack of Data Mining project estimation methods is because of many real-life project failures due to the non-realistic estimation at the beginning of the projects. Consequently, in this paper we propose to design and validate a parametric cost estimation model, similar to COCOMO or SLIM in software development, for Data Mining projects (DMCoMo1). The drivers of the model will be proposed first and later the equation of the model will be proposed.
Internacional
Si
JCR del ISI
Si
Título de la revista
INFORMATION SYSTEMS
ISSN
0306-4379
Factor de impacto JCR
1,681
Información de impacto
Volumen
33
DOI
http://dx.doi.org/10.1016/j.is.2007.07.004
Número de revista
1
Desde la página
133
Hasta la página
150
Mes
MARZO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Oscar Marban Gallego (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Maria Covadonga Fernandez Baizan (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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