Question

Which data processing techniques can be applied to remove the noise in correct in inconsistencies in data?

Answer 1

Answer:

Data preprocessing include data cleaning, data integration, data transformation, and data reduction. Data cleaning can be applied to remove noise and correct inconsistencies in the data.

Explanation:

Answer 2

Answer:

 Data processing is the technique that is used to correct the consistencies in the data and also remove the noise by using various types of techniques are as follows:

• Data cleaning
• Data integration
• Data reduction

Data processing is the collection of the data that are manipulated for producing some meaningful and useful information.

The data processing is mainly responsible for operating the various data processing application. It is also known as the subset of the information processing unit.