What does the SEMMA architecture stand for?

The SEMMA architecture, which stands for Sample, Explore, Modify, Model, and Assess, is a structured approach used in SAS Enterprise Miner for data mining and predictive modeling processes.

The first step, "Sample," involves obtaining a representative subset of the data to work with, which helps in reducing processing time and simplifying the analysis while still maintaining the integrity of the findings. The "Explore" phase focuses on examining the data through visualizations and statistical summaries, allowing users to gain insights into patterns and relationships within the data.

"Modify" refers to preparing the data by cleaning, transforming, and selecting relevant variables, which is crucial for optimizing the model's performance. In the "Model" phase, various modeling techniques are applied to the processed data, allowing practitioners to build predictive models that can identify trends and make forecasts. Lastly, the "Assess" step involves evaluating the model's effectiveness through different metrics and validating its predictions against unseen data to ensure reliability.

This framework not only guides users through the data mining process but also emphasizes the importance of each step in developing robust predictive models. The other options do not align with the established terminology used in SAS Enterprise Miner, as they either misrepresent the terms or rearrange the concepts in a way that does