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Predicting multidimensional cubes through intentional analytics
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DOI：10.1016/j.is.2025.102628.png)
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Abstract
En 中文
• The Intentional Analytics Model streamlines exploratory analysis of multidimensional cubes. • Users declare their analysis intentions and in return get cubes enhanced with models. • We propose an operator to predict a cube measure via different regression models. • We prove that this operator returns accurate predictions and allows interactive sessions.
Keywords:
Data cube
OLAP
Intentional analytics model
Regression
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