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Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Siti Hairul Nita Selamat | - |
dc.date.accessioned | 2011-10-16T07:20:15Z | - |
dc.date.available | 2011-10-16T07:20:15Z | - |
dc.date.issued | 2006-10 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/901 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.publisher | Fakulti Sains dan Teknologi | en_US |
dc.relation.ispartofseries | ;QA 76.9 .D343 S5 2006 | - |
dc.subject | QA 76.9 .D343 S5 2006 | en_US |
dc.subject | Siti Hairul Nita Selamat | en_US |
dc.subject | Mining rare relation patterns from multi relational tables | en_US |
dc.subject | Data mining | en_US |
dc.title | Mining rare relation patterns from multi relational tables | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Fakulti Sains dan Teknologi |
Files in This Item:
File | Description | Size | Format | |
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QA 76.9 .D343 S5 2006 Abstract.pdf | 2.96 MB | Adobe PDF | View/Open | |
QA 76.9 .D343 S5 2006 FullText.pdf Restricted Access | 36.21 MB | Adobe PDF | View/Open Request a copy |
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