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Data Mining Project Lifecycle
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Flashcards
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Modeling
Various modeling techniques are selected and applied, and their parameters are calibrated to optimal values.
Evaluation
The model's results are evaluated in the context of business objectives to determine if the model can meet the project's goals.
Data Understanding
Involves collecting initial data, describing it, exploring it, and verifying its quality to discover insights.
Deployment
The stage where the model is deployed into a real-world environment for decision-making or automated processes. The results are monitored and maintained.
Data Preparation
This stage consists of constructing the final dataset from the initial raw data by cleaning, selecting cases, and transforming the data.
Business Understanding
This stage focuses on understanding the project objectives and requirements from a business perspective, then converting this knowledge into a data mining problem definition.
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