Question

What is data cube aggregation in data reduction?

Answer 1

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Data Reduction In Data Mining

A database or date warehouse may store terabytes of data.So it may take very long to perform data analysis and mining on such huge amounts of data.

Data reduction techniques can be applied to obtain a reduced representation of the data set that is much smaller in volume but still contain critical information.

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.

Answer 2

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Data Cube Aggregation:They involve you in the annual sales, rather than the quarterly average, So we can summarize the data in such a way that the resulting data summarizes the total sales per year instead of per quarter. It summarizes the data.