Data mining
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Data mining aims to make predictions through analysis of data, with predictive data mining being the most common and directly applicable to business. The process involves initial data exploration, identifying patterns to build a model and validate it, then deploying the model on new data to generate predictions.
Data mining
- 1. The ultimate goal of data mining is prediction - and predictive data mining is the most common type of data mining and one that has the most direct business applications. The process of data mining consists of three stages: (1) the initial exploration, (2) model building or pattern identification with validation/verification, and (3) deployment (i.e., the application of the model to new data in order to generate predictions).