ISDS 2001 : Test 4 Comprehensive Notes (with Highlight)
15 Mar 2019
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Isds 2001 study guide for test 4. * - indicates problem-solving questions on sample test. Objectives: after completing chapter 4, you should know: That other data mining procedures include data visualization and time series forecasting. That classification procedures are the most common of all data mining approaches. Credit approval good or bad credit risk. Target marketing likely customer or no hope that classification involves identifying patterns of data and associates those patterns with observations belonging to a certain category. Telecommunications likely or not likely to turn to a another phone company. Route or segmentation decisions prioritize crashes as high, moderate, or no severity. Crisp-dm cross-industry standard process for data mining is one of the most popular nonproprietary standard methodologies for data mining. Dmaic stands for define, measure, analyze, improve, and control and is utilized in six-sigma based data mining processes.
