33.What is the effect of reducing min confidence criteria on the same?
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Explanation:
Confidence is defined as the measure of certainty or trustworthiness associated with each discovered pattern.
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Minimum confidence is applied to find all the repeated sets in a data set.
This minimum confidence are used to formulate the rules.
Explanation
- Minimum confidence are used to find frequent data sets and also it is an tough procedure to find , hence it involves analyzing all the possible items.
- Mining frequent is the basic task and once the frequent groups of items are found in a data set, it is also possible to discover the association rules that holds for the frequent sets.
- Confidence is the measure of certainty and trust worthy of the pattern.
- This is also used for the formulation of rules.
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