?What is the difference between supervised and unsupervised learning in data mining

Supervised learning in data mining involves training a model using labeled data, where the algorithm learns to predict outcomes based on input features. Unsupervised learning, on the other hand, deals with unlabeled data and aims to discover hidden patterns or structures within the data without explicit guidance.

?How does association rule mining contribute to understanding consumer behavior

Association rule mining helps identify relationships between items in large datasets, often used in market basket analysis. By analyzing purchasing patterns, businesses can uncover associations between products frequently bought together, aiding in targeted marketing strategies and product placement decisions to better understand consumer behavior.

Data Mining basics for Beginners

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