This is the process in which data is explored to find the hidden factors and patterns
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data mining
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data preprocessing
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data scrubbing
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data profiling
A
Correct answer
Explanation
Data mining is the correct process for exploring data to discover hidden patterns, trends, and factors that aren't immediately obvious. It uses statistical algorithms and machine learning techniques to uncover insights from large datasets. Data preprocessing prepares data for analysis but doesn't discover patterns, while data scrubbing focuses on cleaning data, and data profiling assesses data quality.