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dc.contributor.authorHall, Tracy
dc.contributor.authorBowes, David
dc.date.accessioned2014-11-18T12:14:41Z
dc.date.available2014-11-18T12:14:41Z
dc.date.issued2012
dc.identifier.citationHall , T & Bowes , D 2012 , ' The State of Machine Learning Methodology in Software Fault Prediction ' Paper presented at International Conference on Machine Learning Applications , Boca Raton , United States , 12/12/12 - 15/12/12 , .
dc.identifier.citationconference
dc.identifier.otherPURE: 7739924
dc.identifier.otherPURE UUID: 5326424d-7eb7-4d2c-b58a-ca29d2ea9771
dc.identifier.otherScopus: 84873601067
dc.identifier.urihttp://hdl.handle.net/2299/14791
dc.language.isoeng
dc.titleThe State of Machine Learning Methodology in Software Fault Predictionen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusNon peer reviewed
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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