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Scope: data mining, CRISP-DM and SEMMA, and predictive modeling
Below are 3 Post (A, B, C) topics, Pick one topic and expound on it. The content will come from your own experiences, observations, ideas, benefits, and/or research. In-Text Citing should be limited to 10% to 25% of the Posts’ content.
What are some of the data mining (pp.197-203+) aspects that should lead to business benefits?
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Compare and contrast CRISP-DM and SEMMA (pp. 212-213), and which data mining process/methodology is thought to be the most comprehensive?
In the opening vignette, predictive modeling (pp. 244-247) is described as estimating the future using the past data. Predictive Modeling Helps Better Understand and Manage Complex Medical Procedures, Why is this important (in- healthcare)?