A stage of data mining is a logical process for searching large amount information for finding important data.
Stage 1: Exploration: One will want to explore and prepare data. The goal of the exploration stage is to find important variables and determine their nature.
Stage 2: pattern identification: Searching for patterns and choosing the one which allows making best prediction, is the primary action in this stage.
Stage 3: Deployment stage. Until consistent pattern is found in stage 2, which is highly predictive, this stage cannot be reached. The pattern found in stage 2, can be applied for the purpose to see whether the desired outcome is achieved or not.
Stage 1: Exploration: One will want to explore and prepare data. The goal of the exploration stage is to find important variables and determine their nature.
Stage 2: pattern identification: Searching for patterns and choosing the one which allows making best prediction, is the primary action in this stage.
Stage 3: Deployment stage. Until consistent pattern is found in stage 2, which is highly predictive, this stage cannot be reached. The pattern found in stage 2, can be applied for the purpose to see whether the desired outcome is achieved or not.
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