There are several techniques that can be used for mining patterns, trends, and anomalies in data. These include data visualization, machine learning algorithms, clustering, classification, regression, association rules, and sequential patterns. These techniques can help to identify patterns and trends in the data, and can also be used to detect anomalies or outliers.
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