Which of the following is NOT a main step in the data mining process?

Prepare for the MIS Data Mining Test with engaging flashcards and multiple-choice questions. Dive into hints and explanations for every question. Enhance your knowledge and ace your exam!

Data visualization is not considered a main step in the data mining process. The primary steps involved in data mining typically include data cleaning, integration, transformation, modeling, evaluation, and deployment.

Data cleaning involves addressing errors and inconsistencies in the data to enhance its quality. Data integration refers to combining data from different sources into a coherent dataset, ensuring that all relevant information can be analyzed together. Data transformation involves converting data into a suitable format or structure that is more appropriate for mining techniques, often enhancing its usability for subsequent analysis.

While data visualization is an important aspect of analyzing and interpreting data, it serves more as a supportive technique rather than a core step in the actual data mining process. It helps to convey the results and findings derived from data mining but does not contribute directly to the extraction of patterns or knowledge from the data itself.

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