Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/99568
DC FieldValue
dc.titleOn generating synthetic database for classification
dc.contributor.authorLu, Hongjun
dc.contributor.authorSung, Sam Y.
dc.contributor.authorLu, Ying
dc.date.accessioned2014-10-27T06:05:24Z
dc.date.available2014-10-27T06:05:24Z
dc.date.issued1996
dc.identifier.citationLu, Hongjun,Sung, Sam Y.,Lu, Ying (1996). On generating synthetic database for classification. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2 : 1280-1284. ScholarBank@NUS Repository.
dc.identifier.issn08843627
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/99568
dc.description.abstractIn order to evaluate the performance of the large number of classifiers that have been developed and are being developed, proper generation of data to model the realistic world is an important pre-process. In a real world situation, the data often obeys some common distributions. In this paper, the methods and distribution models adopted to generate the data will be explained in details.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.description.sourcetitleProceedings of the IEEE International Conference on Systems, Man and Cybernetics
dc.description.volume2
dc.description.page1280-1284
dc.description.codenPICYE
dc.identifier.isiutNOT_IN_WOS
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