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What is Data Mining Challenges Explained about?
The document discusses some of the main problems that can be encountered when mining data from databases, including limited information available for the desired objective, noise and missing values in the data that need to be addressed, and uncertainties from inconsistent or irrelevant attribute values. It notes that databases may not contain all the necessary attributes for data mining goals and that data is vulnerable to errors during entry. Methods for handling missing data such as discarding values or r
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