Data mining is the process of discovering patterns, correlations, trends, or anomalies in large datasets using statistical, machine learning, and database techniques. It often involves:
Unsupervised learning: Techniques like clustering or association rule mining, where the system explores the data without predefined labels or outcomes.
Exploratory analysis: The goal is to uncover hidden structures or relationships that are not immediately obvious.
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