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dc.contributor.authorSiti Hairul Nita Selamat-
dc.date.accessioned2011-10-16T07:20:15Z-
dc.date.available2011-10-16T07:20:15Z-
dc.date.issued2006-10-
dc.identifier.urihttp://hdl.handle.net/123456789/901-
dc.description.abstractIn recent years, the amount of data that stored in any organizational databases has been dramatically increased. Hence, there is a need to discover valuable hidden knowledge from these huge database resources. This is where data mining techniques used for analyzing the data to derive hidden knowledge that has obvious benefits for any organizations.en_US
dc.language.isoenen_US
dc.publisherFakulti Sains dan Teknologien_US
dc.relation.ispartofseries;QA 76.9 .D343 S5 2006-
dc.subjectQA 76.9 .D343 S5 2006en_US
dc.subjectSiti Hairul Nita Selamaten_US
dc.subjectMining rare relation patterns from multi relational tablesen_US
dc.subjectData miningen_US
dc.titleMining rare relation patterns from multi relational tablesen_US
dc.typeThesisen_US
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