Data reduction using data cube aggregation
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Data Reduction Strategies:-
1 Data Cube Aggregation
Aggregation operations are applied to the data in the construction of a data cube.
2 Dimensionality Reduction
In dimensionality reduction redundant attributes are detected and removed which reduce the data set size.
3 Data Compression
Encoding mechanisms are used to reduce the data set size.
4 Numerosity Reduction
In numerosity reduction where the data are replaced or estimated by alternative.
5 Discretisation and concept hierarchy generation
Where raw data values for attributes are replaced by ranges or higher conceptual levels.
hope it helps!!✌✌✌✌✌
1 Data Cube Aggregation
Aggregation operations are applied to the data in the construction of a data cube.
2 Dimensionality Reduction
In dimensionality reduction redundant attributes are detected and removed which reduce the data set size.
3 Data Compression
Encoding mechanisms are used to reduce the data set size.
4 Numerosity Reduction
In numerosity reduction where the data are replaced or estimated by alternative.
5 Discretisation and concept hierarchy generation
Where raw data values for attributes are replaced by ranges or higher conceptual levels.
hope it helps!!✌✌✌✌✌
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