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What are the cons of data mining?

Answer Posted / Kumar Pal Singh

Data Mining can have several potential drawbacks:n1. Privacy concerns: Data mining can inadvertently reveal sensitive information about individuals, which may lead to breaches of privacy.n2. Overfitting: If the model is trained on a small dataset, it may overfit the data and not generalize well to new data.n3. Interpretability issues: Complex models used for data mining can be difficult to interpret, making it hard to understand why certain patterns are found.n4. Ethical concerns: Data mining can be used in ways that are unethical or even illegal, such as profiling and discrimination.n5. High computational cost: Processing large amounts of data requires significant computational resources, which can be expensive.

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