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DC Field | Value | Language |
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dc.contributor.author | Julaily Aida Binti Jusoh | - |
dc.date.accessioned | 2021-03-22T06:30:36Z | - |
dc.date.available | 2021-03-22T06:30:36Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 1100109815 | - |
dc.identifier.uri | http://umt-ir.umt.edu.my:8080/jspui/handle/123456789/14671 | - |
dc.description.abstract | Big data exponentially increases in the bulk of heterogeneous data. It requires an advanced technology to process, analyse and automatically transform the processed data into useful knowledge. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Terengganu | en_US |
dc.subject | Julaily Aida Jusoh | en_US |
dc.subject | A new approach in infrequent itemset mining based on eclat algorithm | en_US |
dc.subject | QA 76.9 .D343 J8 2020 | en_US |
dc.title | A new approach in infrequent itemset mining based on eclat algorithm | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Institut Oseanografi |
Files in This Item:
File | Description | Size | Format | |
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A new approach in infrequent itemset mining based on eclat algoritma.pdf Restricted Access | 41.45 MB | Adobe PDF | View/Open Request a copy |
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