Difference between data cleaning and data reduction
Answers
Answered by
1
Data is cleansed through processes such as filling in missing values, smoothing the noisy data, or resolving the inconsistencies in the data. ... Data Discretization: Involves the reduction of a number of values of a continuous attribute by dividing the range of attribute intervals
Answered by
0
Answer:
Data is cleansed through processes such as filling in missing values, smoothing the noisy data, or resolving the inconsistencies in the data. ... Data Discretization: Involves the reduction of a number of values of a continuous attribute by dividing the range of attribute intervals
Similar questions