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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.

Other publications of the same journal or congress with authors from the University of Cantabria

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

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

Publisher: Elsevier

 Publication date: 01/04/2013

No. of pages: 13

Publication type: Article

 DOI: 10.1016/j.dss.2012.05.045

ISSN: 0167-9236

 Spanish project: TIN2008-05924

Publication Url: https://doi.org/10.1016/j.dss.2012.05.045