Question

What are the two measures used for rule interestingness ?

Answer 1

Rule support and confidence are two measures of rule interestingness.

What is interestingness measures in data mining?

• Interestingness measures play an important role in data mining, regardless of the kind of patterns being mined.
• These measures are intended for selecting and ranking patterns according to their potential interest to the user.
• Good measures also allow the time and space costs of the mining process to be reduced.

Which of the following is interestingness measure for association?

• We present an experimental study of the behaviour of the interestingness measures such as lift, rule interest, Laplace, and information gain.
• Our experimental results verify that many of these measures are very similar in nature.

Which type of interestingness measures are based on user beliefs in the data?

• Subjective interestingness measures are based on user belief in the data.
• These measures find patterns interesting if they are unexpected (contradicting user's belief) or offer strategic information on which user can act.

Hence, Rule support and confidence are two measures of rule interestingness.

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