Explain useful data mining queries?
Answer / Bhaskar Narayan
Useful data mining queries include: 1) Clustering Queries: used to group similar data points together based on certain characteristics. 2) Association Rule Mining Queries: used to discover relationships between different items in a dataset. 3) Classification Queries: used to predict the class or category of new data points based on patterns learned from existing data. 4) Regression Queries: used to model the relationship between a dependent variable and one or more independent variables. 5) Anomaly Detection Queries: used to identify unusual or outlier data points that may indicate fraud, errors, or other important events.
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