What is Data Mining? Key Techniques & Examples

Data Mining

Data mining is discovering buried patterns, correlations, and anomalies in large datasets using statistical analysis and machine learning applied to them. The derived information may be used for decision-making and predictive modeling in attempts to understand complex phenomena. How It Works

Data mining is merely a subset of analytics that handles the extraction of knowledge and hidden patterns from data explicitly. Traditionally, a data scientist was required to build, refine, and deploy models. With the help of AutoML tools, all this can be done by a data analyst provided the model isn’t too complex.