A subjective interestingness measure for multidimensional BI queries is defined by modeling user belief as a probability distribution learned via random walk from past interactions, cube schema, and other users' activities.
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A Subjective Interestingness measure for Business Intelligence explorations
A subjective interestingness measure for multidimensional BI queries is defined by modeling user belief as a probability distribution learned via random walk from past interactions, cube schema, and other users' activities.