A New Approach for Resolving Conflicts in Actionable Behavioral Rules
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Knowledge is considered actionable if users can take direct actions based on such knowledge to their advantage.
Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest specific actions to take to influence (restrain or encourage) the behavior in the users’ best interest.
However, in mining such rules, it often occurs that different rules may suggest the same actions with different expected utilities, which we call conflicting rules.
To resolve the conflicts, a previous valid method was proposed.
However, inconsistency of the measure for rule evaluating may hinder its performance.
To overcome this problem, we develop a new method that utilizes rule ranking procedure as the basis for selecting the rule with the highest utility prediction accuracy.
More specifically, we propose an integrative measure, which combines the measures of the support and antecedent length, to evaluate the utility prediction accuracies of conflicting rules.
We also introduce a tunable weight parameter to allow the flexibility of integration.
We conduct several experiments to test our proposed approach and evaluate the sensitivity of the weight parameter.
Empirical results indicate that our approach outperforms those from previous research.
American Psychological Association (APA)
Su, Peng& Zhu, Dan& Zeng, Daniel. 2014. A New Approach for Resolving Conflicts in Actionable Behavioral Rules. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049993
Modern Language Association (MLA)
Su, Peng…[et al.]. A New Approach for Resolving Conflicts in Actionable Behavioral Rules. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1049993
American Medical Association (AMA)
Su, Peng& Zhu, Dan& Zeng, Daniel. A New Approach for Resolving Conflicts in Actionable Behavioral Rules. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049993
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049993