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This article explores the Knowledge Discovery Process (KDP) in data mining, focusing on key stages such as data pre-processing, transformation of raw data, evaluation of results, and visualization techniques. It highlights the importance of effectively managing and transforming data to extract valuable insights. By understanding each phase, researchers and data analysts can enhance their methodologies, leading to more accurate findings and better decision-making in various fields.
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An Answer: the Knowledge Discovery Process Pattern Discovery Data Mining Pre-processing Pre-processed Data Raw Data Results Evaluation and Visualization Knowledge