An efficient algorithm to discover large and frequent itemset in high dimensional data
The current trend of data collection involves a small number of observations with a very large number of variables, known as high dimensional data. Mining these data produces an explosive number of smaller itemsets which are less important than colossal (large) ones. As the trend in Frequent Itemset...
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| Format: | Monograph |
| Language: | English |
| Published: |
2019
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| Online Access: | http://irep.iium.edu.my/70312/ http://irep.iium.edu.my/70312/1/FRGS_Closing_Report.pdf |