Association Rule Mining
Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical poin...
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sg-smu-ink.sis_research-18342010-11-29T07:54:04Z Association Rule Mining WOON, Yew-Kwong NG, Wee-Keong LIM, Ee Peng Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover correlations among a set of variables. 2005-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/835 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing |
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Databases and Information Systems Numerical Analysis and Scientific Computing WOON, Yew-Kwong NG, Wee-Keong LIM, Ee Peng Association Rule Mining |
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Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover correlations among a set of variables. |
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WOON, Yew-Kwong NG, Wee-Keong LIM, Ee Peng |
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WOON, Yew-Kwong NG, Wee-Keong LIM, Ee Peng |
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WOON, Yew-Kwong |
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Association Rule Mining |
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Association Rule Mining |
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Association Rule Mining |
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Association Rule Mining |
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Association Rule Mining |
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association rule mining |
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Institutional Knowledge at Singapore Management University |
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2005 |
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https://ink.library.smu.edu.sg/sis_research/835 |
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