Data Mining Best practices
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1.Cross-Industry standards process for data mining (CRISP-DM) is a complete data mining method and processing model that avails someone from beginners to data mining gurus with a comprehensive plan for steering a data mining development. It splits the cycle of a data mining project into six parts, which offer a good description of the analytics process. The parts include;Business comprehension; this is the first step because it helps to formulate the problem statement. When the problem statement is defined, then the data can be driven where it belongs. Here, the concentration should be the project goals and the needs from a business viewpoint. The knowledge should then be translated to problem definition of data mining and an initial plan created to accomplish the set goals.Data understand...
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