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dc.contributor.authorHolmes, Geoffrey
dc.coverage.spatialConference held at Beijing, Chinaen_NZ
dc.date.accessioned2013-10-04T03:50:49Z
dc.date.available2013-10-04T03:50:49Z
dc.date.copyright2013-06
dc.date.issued2013
dc.identifier.citationHolmes, G. (2012). Developing data mining applications. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 225-225). New York, USA: ACM.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/8059
dc.description.abstractIn this talk I will review several real-world applications developed at the University of Waikato over the past 15 years. These include the use of near infrared spectroscopy coupled with data mining as an alternate laboratory technique for predicting compound concentrations in soil and plant samples, and the analysis of gas chromatography mass spectrometry (GCMS) data, a technique used to determine in environmental applications, for example, the petroleum content in soil and water samples. I will then briefly discuss how experience with these applications has led to the development of an open-source framework for application development.en_NZ
dc.language.isoenen_NZ
dc.publisherACMen_NZ
dc.relation.urihttp://dl.acm.org/citation.cfm?id=2339569en_NZ
dc.subjectcomputer scienceen_NZ
dc.subjectdata miningen_NZ
dc.subjectMachine learning
dc.titleDeveloping data mining applicationsen_NZ
dc.typeConference Contributionen_NZ
dc.identifier.doi10.1145/2339530.2339569en_NZ
dc.relation.isPartOfProceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Miningen_NZ
pubs.begin-page225en_NZ
pubs.elements-id22347
pubs.end-page225en_NZ
pubs.finish-date2012-08-16en_NZ
pubs.place-of-publicationNew York, NYen_NZ
pubs.start-date2012-08-12en_NZ


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