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A service oriented architecture to provide data mining services for non-expert data miners

Abstract: In today's competitive market, companies need to use discovery knowledge techniques to make better, more informed decisions. But these techniques are out of the reach of most users as the knowledge discovery process requires an incredible amount of expertise. Additionally, business intelligence vendors are moving their systems to the cloud in order to provide services which offer companies cost-savings, better performance and faster access to new applications. This work joins both facets. It describes a data mining service addressed to non-expert data miners which can be delivered as Software-as-a-Service. Its main advantage is that by simply indicating where the data file is, the service itself is able to perform all the process. © 2012 Elsevier B.V. All rights reserved.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Autoría: Zorrilla M., García-Saiz D.,

 Fuente: Decision Support Systems 55 (2013) 399-411

Editorial: Elsevier

 Fecha de publicación: 01/04/2013

Nº de páginas: 13

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.dss.2012.05.045

ISSN: 0167-9236

Proyecto español: TIN2008-05924

Url de la publicación: https://doi.org/10.1016/j.dss.2012.05.045