Construct · 1 fields · 1 citations

interestingness measure: a standalone construct

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Data mining

a measure used to rank discovered patterns or association rules by how useful, surprising or strong they are.

In data mining, interestingness measure refers to a measure used to rank discovered patterns or association rules by how useful, surprising or strong they are. This meaning comes from Geng (2006) in ACM Computing Surveys.[1]

Unit
Recovery means
Measured by

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Nearby constructs

association rules1 fields · 1 citationsanchor · a standalone construct association4 fields · 4 citationsjingle · one word, four constructs measure2 fields · 4 citationsjingle · one word, two constructs

References

Geng, L., & Hamilton, H. J. (2006). Interestingness measures for data mining: A survey. ACM Computing Surveys, 38(3), 9. https://doi.org/10.1145/1132960.1132963

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