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The process of gathering and accumulating data from various sources to be used in data mining techniques and strategies
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It improves the quality and usability of the data before applying data mining techniques. It focuses on cleaning, transforming, and enhancing the data to make it suitable for analysis.
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It examines and understand the dataset to gain insights into its structure, characteristics, and potential patterns or relationships
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These models are used to make predictions, classify data, or gain a deeper understanding of the data.
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It helps to assess the quality and performance of models and the results obtained from the data mining process
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It involves taking the insights and models developed through the data mining process and integrating them into operational systems, processes, or decision-making.
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The process of extracting the most valuable, actionable, and meaningful information from a dataset.
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