A New Approach for Resolving Conflicts in Actionable Behavioral Rules
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 en...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/530483 |
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| author | Peng Su Dan Zhu Daniel Zeng |
| author_facet | Peng Su Dan Zhu Daniel Zeng |
| author_sort | Peng Su |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b52c5e81d85b4daf96137f199eba0329 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-b52c5e81d85b4daf96137f199eba03292025-02-03T01:25:56ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/530483530483A New Approach for Resolving Conflicts in Actionable Behavioral RulesPeng Su0Dan Zhu1Daniel Zeng2School of Mathematics and Computer Science, Dali University, Dali 671003, ChinaCollege of Business, Iowa State University, Ames, IA 50011, USAState Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaKnowledge 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.http://dx.doi.org/10.1155/2014/530483 |
| spellingShingle | Peng Su Dan Zhu Daniel Zeng A New Approach for Resolving Conflicts in Actionable Behavioral Rules The Scientific World Journal |
| title | A New Approach for Resolving Conflicts in Actionable Behavioral Rules |
| title_full | A New Approach for Resolving Conflicts in Actionable Behavioral Rules |
| title_fullStr | A New Approach for Resolving Conflicts in Actionable Behavioral Rules |
| title_full_unstemmed | A New Approach for Resolving Conflicts in Actionable Behavioral Rules |
| title_short | A New Approach for Resolving Conflicts in Actionable Behavioral Rules |
| title_sort | new approach for resolving conflicts in actionable behavioral rules |
| url | http://dx.doi.org/10.1155/2014/530483 |
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