Which of the following steps are important in data mining?

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Sources of Data that can be mined

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What degree of missing data in a particular case/participant results in Expectation-Maximisation no longer working?

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Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

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Mohsen Ghorbian

Sajda Taha Mahmood Tank You

Addi Ait-Mlouk

1 and 2, for a simple implementation you can find a lot of algorithms already implemented (python or R). Also, data preparation step is important

Addi Ait-Mlouk Thank you for your suggestion

Mario José Diván

I recommend you to read the traditional KDD process with the explanation step-by-step on each stage's aim. From there, I suggest you read about the CRISP-DM and SEMMA methodologies. With that background, you will be able to understand each step's aim jointly with the relationships between them.

Mario José Diván Thank you for your suggestion