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A survey of data mining and knowledge discovery process models and methodologies

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dc.contributor.author Mariscal Vivas, Gonzalo spa
dc.contributor.author Marbán, Óscar spa
dc.contributor.author Fernández, Covadonga spa
dc.date.accessioned 2013-11-27T17:26:33Z
dc.date.available 2013-11-27T17:26:33Z
dc.date.issued 2010 spa
dc.identifier.citation Mariscal-Vivas, G., Marbán, O., & Fernández, C. (2010). A survey of data mining and knowledge discovery process models and methodologies. Knowledge Engineering Review, 25(2), 137-166. spa
dc.identifier.issn 02698889 spa
dc.identifier.uri http://hdl.handle.net/11268/827
dc.description.abstract Up to now, many data mining and knowledge discovery methodologies and process models have been developed, with varying degrees of success. In this paper, we describe the most used (in industrial and academic projects) and cited (in scientific literature) data mining and knowledge discovery methodologies and process models, providing an overview of its evolution along data mining and knowledge discovery history and setting down the state of the art in this topic. For every approach, we have provided a brief description of the proposed knowledge discovery in databases (KDD) process, discussing about special features, outstanding advantages and disadvantages of every approach. Apart from that, a global comparative of all presented data mining approaches is provided, focusing on the different steps and tasks in which every approach interprets the whole KDD process. As a result of the comparison, we propose a new data mining and knowledge discovery process named refined data mining process for developing any kind of data mining and knowledge discovery project. The refined data mining process is built on specific steps taken from analyzed approaches. spa
dc.language.iso eng spa
dc.subject.other Projects spa
dc.subject.other Trends spa
dc.subject.other Computer Science spa
dc.title A survey of data mining and knowledge discovery process models and methodologies spa
dc.type article spa
dc.description.impact 1.257 JCR (2010) Q3, 60/108 Computer science, artificial intelligence spa
dc.identifier.doi 10.1017/S0269888910000032 spa
dc.rights.accessRights closedAccess en
dc.subject.unesco Procesamiento de datos spa
dc.subject.unesco Sistema de información spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa


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