Which approach involves predicting a continuous value rather than a class label in data mining?ClusteringClassificationRegressionAssociation

Breakdown the Problem

1. Identify the methods listed: Clustering, Classification, Regression, and Association.
2. Understand the nature of the prediction each method makes.

Relevant Concepts

1. Clustering: Groups data points based on similarity without predicting continuous values or class labels.
2. Classification: Predicts discrete class labels based on input features.
3. Regression: Predicts a continuous value based on relationships between variables.
4. Association: Finds relationships between variables, typically in a transactional database, but does not predict values.

Analysis and Detail

• Clustering involves grouping, not prediction.
• Classification gives categorical outcomes, such as "spam" or "not spam".
• Regression looks at numerical outcomes, predicting things like sales prices or temperatures based on input data.
• Association typically describes how items interact within data sets but does not predict values.

Verify and Summarize

From the definitions and characteristics of each approach, it is clear that the method used for predicting a continuous value is Regression.

Final Answer

The approach that involves predicting a continuous value rather than a class label in data mining is Regression.