Data Minining - Data Cube Approach, Study notes for Data Mining. Moradabad Institute of Technology (MIT)
amit mohta
amit mohta

Data Minining - Data Cube Approach, Study notes for Data Mining. Moradabad Institute of Technology (MIT)

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Detail Summery about Data Cube Approach, Data are stored in data cube, Identify expensive computations, Limitations, An efficient implementation of data generalization, Generalization and specialization can be performed ...
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Characterization: Data Cube Approach

November 26, 2014 Data Mining: Concepts and Techniques 1

Characterization: Data Cube Approach

• Data are stored in data cube • Identify expensive computations

– e.g., count( ), sum( ), average( ), max( ) • Perform computations and store

results in data cubes • Generalization and specialization

can be performed on a data cube by roll-up and drill-down

• An efficient implementation of data generalization

November 26, 2014 Data Mining: Concepts and Techniques 2

Data Cube Approach (Cont…)

• Limitations – can only handle data types of dimensions to

simple nonnumeric data and of measures to simple aggregated numeric values.

– Lack of intelligent analysis, can’t tell which dimensions should be used and what levels should the generalization reach

November 26, 2014 Data Mining: Concepts and Techniques 3

Data Cube Approach (Cont…)

November 26, 2014 Data Mining: Concepts and Techniques 4

November 26, 2014 Data Mining: Concepts and Techniques 5

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