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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40998
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dc.titleMultivariate time series prediction via temporal classification
dc.contributor.authorLiu, B.
dc.contributor.authorLiu, J.
dc.date.accessioned2013-07-04T08:17:15Z
dc.date.available2013-07-04T08:17:15Z
dc.date.issued2002
dc.identifier.citationLiu, B., Liu, J. (2002). Multivariate time series prediction via temporal classification. Proceedings - International Conference on Data Engineering : 268-. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40998
dc.description.abstractThe multivariate time series prediction through temporal classification was presented. The two techniques, temporal naïve Bayesian model (T-NB) and temporal decision tree (T-DT) were tested on 7 real-life datasets from an oil refinery. The results showed that the techniques performed very accurate predictions.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings - International Conference on Data Engineering
dc.description.page268-
dc.description.codenPIDEE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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