Data Mining __________ is a data mining technique used to determine the groups o
ID: 3582784 • Letter: D
Question
Data Mining
__________ is a data mining technique used to determine the groups of data that may exist in a set of data based on the characteristics of the data.
__________is a data mining technique that places data instances into particular groups by characteristics usually after the groups or clusters have been identified.
__________is a data mining technique that is used to forecast, classify, and understand data within classes. It is also a heavily used statistical tool that attempts to minimize the sum of the squared errors in its determination of a line through the data class.
__________ 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 ___________________________.
When the data mining technique in question 10 is used with a continuous set of variables it generates a ___________________________.
__________ 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 data mining method, __________ is a measure stated to indicate how often a dependent item will be purchased when a leading item has been purchased.
In the previous data mining method (question 14), __________ 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
clustering is a data mining technique used to determine the groups of data that may exist in a set of data based on the characteristics of the data.
Classification is a data mining technique that places data instances into particular groups by characteristics usually after the groups or clusters have been identified.
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.
Regression is a data mining technique that is used to forecast, classify, and understand data within classes. It is also a heavily used statistical tool that attempts to minimize the sum of the squared errors in its determination of a line through the data class.
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.
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