Question

:-In data mining what noise is referred as??​

Answer 1

Answer:

Definition:

In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analysing data patterns in large batches of data using one or more software. Data mining is also known as Knowledge Discovery in Data (KDD)

Noisy data are data with a large amount of additional meaningless information in it called noise. This includes data corruption and the term is often used as a synonym for corrupt data. It also includes any data that a user system cannot understand and interpret correctly.

Explanation:

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Answer 2

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Noise is refered to as unwanted data being left in the DM after the KDD process

Data Mining: Data mining is defined as clever techniques that are applied to extract patterns potentially useful.