Journal article
Standardizing interestingness measures for association rules
Abstract
Interestingness measures provide information about association rules. The value of an interestingness measure is often interpreted relative to the overall range of the interestingness measure. However, properties of individual association rules can further restrict what value an interestingness measure can achieve. These additional constraints are not typically taken into account in analysis, potentially misleading the investigator. Considering …
Authors
Shaikh MR; McNicholas PD; Antonie ML; Murphy TB
Journal
Statistical Analysis and Data Mining The ASA Data Science Journal, Vol. 11, No. 6, pp. 282–295
Publisher
Wiley
Publication Date
December 2018
DOI
10.1002/sam.11394
ISSN
1932-1864