Explain using an example why computing lift ratio is better in
assessing soundness of an association...
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Mechanical Engineering
Explain using an example why computing lift ratio is better inassessing soundness of an association rule than just using supportfor the products associated in the rule or confidence in the rule.What is the practical significance of lift ratio less than 1?
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Association rule have huge correlation relationships among large sets of data items Association rules show attribute value conditions that occur frequently together in a given data set A typical example of association rule mining is Market Basket Analysis Data is collected using barcode scanners in grocery shop Such market basket databases consist of a large number of transaction records Each record lists all items bought by a customer on a single purchase transaction Managers would be interested to know if certain groups of items are consistently
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