Standardizing interestingness measures for association rules

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Title: Standardizing interestingness measures for association rules
Authors: Shaikh, MateenMcNicholas, Paul D.Antonie, M. LuizaMurphy, Thomas Brendan
Permanent link: http://hdl.handle.net/10197/10544
Date: 11-Sep-2018
Online since: 2019-05-20T13:13:25Z
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 the value of an interestingness measure relative to this further constrained range provides greater insight than the original range alone and can even alter researchers' impressions of the data. Standardizing interestingness measures takes these additional restrictions into account, resulting in values that provide a relative measure of the attainable values. We explore the impacts of standardizing interestingness measures on real and simulated data.
Type of material: Journal Article
Publisher: Wiley
Journal: Statistical Analysis and Data Mining
Volume: 11
Issue: 6
Start page: 282
End page: 295
Copyright (published version): 2018 Wiley
Keywords: Association rulesFrequency patternsInterestingness measuresStandardizationsText categorization
DOI: 10.1002/sam.11394
Language: en
Status of Item: Peer reviewed
Appears in Collections:Insight Research Collection

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