APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
What are the common types of dirty data?
|
|
Malformed value
|
|
|
Duplicate value
|
|
|
Logically wrong value
|
|
|
Missing values
|
Explanation:
Detailed explanation-1: -Duplicate Data. Insecure Data. Outdated Data. Incomplete Data. Inaccurate Data. Incorrect Data. Inconsistent Data. Hoarded Data. More items
Detailed explanation-2: -Dirty data, also known as rogue data, are inaccurate, incomplete or inconsistent data, especially in a computer system or database.
Detailed explanation-3: -Incorrect data. First on the list is incorrect data. Incomplete/missing data. Incomplete data can be either an unfinished field or a null-value entry, i.e. no info added. Inaccurate data. Duplicate data. Inconsistent data. Treating the CRM as a data warehouse. 25-Aug-2021
There is 1 question to complete.