A data cube C, has n dimensions, and each dimension has exactly p distinct values in the base cuboid. Assume that there are no concept hierarchies associated with the dimensions. What is the maximum number of cells possible in the data cube, C ?
\((p + 1)^{n}\)
Every cell of the full cube picks, for each dimension, either one of its p values or the aggregate value * (all), giving p + 1 choices per dimension.
\(\text{Cells} = \underbrace{(p + 1) \times (p + 1) \times \cdots \times (p + 1)}_{n} = (p + 1)^{n}\)
Check: \(p^{n}\) counts only the base cuboid and ignores the aggregated cuboids, so it is smaller.
Hence, \((p + 1)^{n}\).
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__________ allows selection of the relevant information necessary for the data warehouse.
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E. Pattern evaluation is a process to identify knowledge based on interestingness measure.
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Assertion A: OLAP systems are optimized for complex queries and analysis.
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Which one of the following options is correct ?
