Difference between revisions of "Association Rule Learning"
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== Market Basket Analysis == | == Market Basket Analysis == | ||
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| + | == Apriori == | ||
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Revision as of 09:49, 8 January 2019
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a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. This rule-based approach also generates new rules as it analyzes more data. The ultimate goal, assuming a large enough dataset, is to help a machine mimic the human brain’s feature extraction and abstract association capabilities from new uncategorized data.
Market Basket Analysis
Apriori
