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dc.date.accessioned 2019-11-28T17:57:14Z
dc.date.available 2019-11-28T17:57:14Z
dc.date.issued 2016
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/86305
dc.description.abstract Information Mining (also known as Knowledge Discovery Process) is a growing discipline in continuous expansion. Most of the progress accomplished, are focus on the development activities (i.e. those technical activities associated with the comprehension and adaptation of data, and the implementation of data mining algorithm). According to this conceptual framework, several process models were developed, which allow organizing and defining the set of tasks related to the development of information mining projects. These approaches omit the set of tasks oriented to the management and control of the process. In this paper, we propose a transversal management process to the development process currently in use in information mining projects. The proposed process focuses on removing existing gaps, providing an improvement on the project's maturity and quality levels. en
dc.format.extent 504-509 es
dc.language en es
dc.subject Component es
dc.subject Data mining es
dc.subject Information mining engineering es
dc.subject Knowledge discovery process es
dc.subject Project management of information mining es
dc.title Information mining projects management process en
dc.type Objeto de conferencia es
sedici.identifier.other doi:10.18293/SEKE2016-009 es
sedici.identifier.other eid:2-s2.0-84988358571 es
sedici.identifier.issn 2325-9000 es
sedici.identifier.isbn 189170639X; 9781891706394 es
sedici.creator.person Martins, Sebastián es
sedici.creator.person Pesado, Patricia Mabel es
sedici.creator.person García Martínez, Ramón es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigación en Informática es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2016-07
sedici.relation.event 28th International Conference on Software Engineering and Knowledge Engineering, SEKE 2016 (San Francisco, 1 al 3 de julio) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)