Data warehousing: Explain discrete and continuous data in data mining.

Explain discrete and continuous data in data mining.

- Discreet data can be considered as defined or finite data. e.g. Mobile numbers, gender.
- Continuous data can be considered as data which changes continuously and in an ordered fashion, e.g. age

Explain discrete and continuous data in data mining.

Finite data can be considered as discrete data. For example, employee id, phone number, gender, address etc.If data changes continually, then that data can be considered as continuous data. For example, age, salary, experience in years etc.
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