Action Rules

Action Rules

Zbigniew W. Ras (University of North Carolina, Charlotte, USA), Angelina Tzacheva (University of North Carolina, Charlotte, USA) and Li-Shiang Tsay (University of North Carolina, Charlotte, USA)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch001
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Abstract

There are two aspects of interestingness of rules that have been studied in data mining literature, objective and subjective measures (Liu, 1997; Adomavicius & Tuzhilin, 1997; Silberschatz & Tuzhilin, 1995, 1996). Objective measures are data-driven and domain-independent. Generally, they evaluate the rules based on their quality and similarity between them. Subjective measures, including unexpectedness, novelty and actionability, are user-driven and domain-dependent.

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