An engineering approach to data mining projects

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dc.contributor.author Marbán, Óscar
dc.contributor.author Mariscal Vivas, Gonzalo
dc.contributor.author Menasalvas, Ernestina
dc.contributor.author Segovia Cubero, Javier
dc.contributor.other Yao, X.
dc.contributor.other Yin, Hujun
dc.contributor.other Tino, P.
dc.contributor.other Corchado, Emilio
dc.contributor.other Byrne, W.
dc.date.accessioned 2016-07-23T17:15:04Z
dc.date.available 2016-07-23T17:15:04Z
dc.date.issued 2007
dc.identifier.citation Marbán, Ó., Mariscal, G., Menasalvas, E., & Segovia, J. (2007). An engineering approach to data mining projects. In X. Yao, H. Yin, P. Tino, E. Corchado & W. Byrne (Eds.), International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2007) (pp. 578-588). Berlin: Springer. spa
dc.identifier.isbn 9783540772255
dc.identifier.isbn 9783540772262
dc.identifier.issn 03029743
dc.identifier.uri http://hdl.handle.net/11268/5461
dc.description.abstract Both the number and complexity of Data Mining projects has increased in late years. Unfortunately, nowadays there isn’t a formal process model for this kind of projects, or existing approaches are not right or complete enough. In some sense, present situation is comparable to that in software that led to ’software crisis’ in latest 60’s. Software Engineering matured based on process models and methodologies. Data Mining’s evolution is being parallel to that in Software Engineering. The research work described in this paper proposes a Process Model for Data Mining Projects based on the study of current Software Engineering Process Models (IEEE Std 1074 and ISO 12207) and the most used Data Mining Methodology CRISP-DM (considered as a “facto” standard) as basic references. spa
dc.description.sponsorship SIN FINANCIACIÓN spa
dc.language.iso eng spa
dc.publisher Springer spa
dc.title An engineering approach to data mining projects spa
dc.type conferenceObject spa
dc.description.impact 0.275 SJR (2007) Q2, 92/281 Computer science (miscellaneous); Q4, 82/123 Theoretical Computer Science spa
dc.identifier.doi 10.1007/978-3-540-77226-2_59
dc.rights.accessRights closedAccess en
dc.subject.uem Minería de datos spa
dc.subject.uem Ingeniería del software spa
dc.subject.unesco Informática spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa

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