Mining
Mining in data science refers to the process of discovering patterns in large datasets through various computational techniques. It involves extracting valuable insights and knowledge from data by identifying correlations, associations, and anomalies. The goal of mining is to transform raw data into actionable information that can be used to make informed decisions. Data mining techniques include clustering, classification, regression, association rule mining, and anomaly detection. These techniques are used in various fields such as marketing, finance, healthcare, and social media analysis to identify patterns and trends that can be used to improve business operations and decision-making processes.
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