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dc.contributor.authorSpate, Jessica
dc.contributor.authorGibert, Karina
dc.contributor.authorSànchez-Marrè, Miquel
dc.contributor.authorFrank, Eibe
dc.contributor.authorComas, Joaquim
dc.contributor.authorAthanasiadis, Ioannis
dc.contributor.authorLetcher, Rebecca
dc.coverage.spatialConference held at Burlington, USAen_NZ
dc.date.accessioned2013-06-05T23:39:33Z
dc.date.available2013-06-05T23:39:33Z
dc.date.issued2006
dc.identifier.citationSpate, J., Gibert, K., Sànchèz-Marr, M., Frank, E., Comas, J., Athanasiadis, I. & Letcher, R. (2006).Data Mining as a Tool for Environmental Scientists. In: Voinov, A., Jakeman, A.J., Rizzoli, A.E. (eds). Proceedings of the iEMSs Third Biennial Meeting: "Summit on Environmental Modelling and Software". International Environmental Modelling and Software Society, Burlington, USA, July 2006.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/7682
dc.description.abstractOver recent years a huge library of data mining algorithms has been developed to tackle a variety of problems in fields such as medical imaging and network traffic analysis. Many of these techniques are far more flexible than more classical modelling approaches and could be usefully applied to data-rich environmental problems. Certain techniques such as Artificial Neural Networks, Clustering, Case-Based Reasoning and more recently Bayesian Decision Networks have found application in environmental modelling while other methods, for example classification and association rule extraction, have not yet been taken up on any wide scale. We propose that these and other data mining techniques could be usefully applied to difficult problems in the field. This paper introduces several data mining concepts and briefly discusses their application to environmental modelling, where data may be sparse, incomplete, or heterogenous.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherInternational Environmental Modelling and Software Societyen_NZ
dc.relation.urihttp://www.iemss.org/iemss2006/sessions/all.html
dc.rights© 2006 the authors.en_NZ
dc.sourceProceedings of the iEMSs Third Biennial Meeting: "Summit on Environmental Modelling and Software"en_NZ
dc.subjectdata miningen_NZ
dc.subjectenvironmental dataen_NZ
dc.subjectMachine learning
dc.titleData mining as a tool for environmental scientistsen_NZ
dc.typeConference Contributionen_NZ
dc.relation.isPartOfProceedings of the iEMSs 3rd Biennial Meeting," Summit on Environmental Modelling and Software"en_NZ
pubs.elements-id22863
pubs.finish-date2006-07-13en_NZ
pubs.start-date2006-07-09en_NZ


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