Answer / Chandra Bahadur

Data Mining is a process of discovering hidden patterns, correlations, anomalies, and insights within large datasets using statistical techniques, machine learning algorithms, and visualization tools. It is used to gain a deeper understanding of the underlying structure of the data and make informed decisions based on the findings.

Explain what are the different problems that 'data mining” can solve?

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How can you deal with multi-source problems?

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What are techniques used for data mining?

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Describe important index characteristics?

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Explain how to use dmx-the data mining query language?

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Name Data mining techniques?

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What are the advantages data mining over traditional approaches?

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Define pre pruning?

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Give a brief introduction to data mining knowledge discovery?

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Define descriptive model?

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Name types of data mining?

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Why is classification needed?

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