(1) Rule Based Classification is a data mining technique which helps to define a
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Question
(1) Rule Based Classification is a data mining technique which helps to define a set of rules to be used in making decisions based on training and testing data sets.
When the data mining technique in the previous question is used with a finite set of variables it generates a (A)___________________________.When the data mining technique is used with a continuous set of variables it generates a (B)___________________________.
(2) Association is a data mining technique used to determine patterns in a data set such as when product A is purchased it is likely that product B will also be purchased.
In the previous(Association) data mining method, (A)__________ is a measure stated to indicate how often a dependent item will be purchased when a leading item has been purchased.In the previous (Association)data mining method , (B)__________ is a measure stated to indicate how often a dependent item will be purchased when a leading item has been purchased as compared to the entire dataset.
Explanation / Answer
Hope this doesn't require further explanation.
When data mining technique in Rule Based Classification is used with finite set of variables it generates a Categorical Variable Decision Tree.
When the data mining technique is used with a continuous set of variables it generates a Continuous Variable Decision Tree.
Confidence is a measure stated to indicate how often a dependent item will be purchased when a leading item has been purchased
Lift is a measure stated to indicate how often a dependent item will be purchased when a leading item has been purchased as compared to the entire dataset.
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