What are the most common data mining mistakes/blunders? How can they be minimized and/or eliminated?
Answer to relevant QuestionsDefine data mining. Why are there many names and definitions for data mining?What is the main difference between classification and clustering? Explain using concrete examples.What are the most common myths and mistakes about data mining? Why is it important to study medical procedures? What is the value in predicting outcomes?How are neural networks implemented in practice when the training/testing is complete?
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