Question

Noisy values are the values that are valid for the dataset, but are incorrectly recorded?true or false

Answer 1

False, Noisy values are the values that are invalid for the data set.

They are simply meaningless data and have often been termed as corrupt data.

Since the data which has been stored, received or changed cannot be accessed by any program and are therefore described as noisy.

Noisy values take up the storage space unnecessarily and have adverse effects on the analysis of data mining.

Answer 2

True. Noisy values are the values that are valid for the dataset, but are incorrectly recorded.

Explanation:

• In Data mining, Noisy values is the incorrect and inconsistent data inserted into the data sets.

• They are valid and needed. The noisy data can be anything. For example, if in a set, the ages of the students in a class are recorded and one value among them is recorded incorrectly as 199, that value will be considered as noisy. It is valid but incorrectly recorded.

• These type of errors can be handled using various ways, such as filling such places with a mean value of correct elements of the set, or by placing a common variable like "FALSE" or "NaN" etc,  that tells us that it is an incorrect value. If the incorrect values or more in number, we can simply ignore that set.

• So, we can finalize that the statement "Noisy values are the values that are valid for the dataset but are incorrectly recorded" is TRUE.

Learn more :

1. What is the role of data mining?

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2. What are the role of surveys and records​

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