中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mining actionable behavioral rules

文献类型:期刊论文

作者Su, Peng1; Mao, Wenji2; Zeng, Daniel2,3; Zhao, Huimin4
刊名DECISION SUPPORT SYSTEMS
出版日期2012-12-01
卷号54期号:1页码:142-152
关键词Data mining Actionable knowledge discovery Actionable behavioral rule
英文摘要Many applications can benefit from constructing models to predict the behavior of an entity. However, such models do not provide the user with explicit knowledge that can be directly used to influence (restrain or encourage) behavior for the user's interest. Undoubtedly, the user often exactly needs such knowledge. This type of knowledge is called actionable knowledge. Actionability is a very important criterion measuring the interestingness of mined patterns. In this paper, to mine such knowledge, we take a first step toward formally defining a new class of data mining problem, named actionable behavioral rule mining. Our definition explicitly states the problem as a search problem in a framework of support and expected utility. We also propose two algorithms for mining such rules. Our experiment shows the validity of our approach, as well as the practical value of our defined problem. (C) 2012 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Operations Research & Management Science
研究领域[WOS]Computer Science ; Operations Research & Management Science
关键词[WOS]PATTERNS ; SYSTEMS
收录类别SCI
语种英语
WOS记录号WOS:000313152200013
源URL[http://ir.ia.ac.cn/handle/173211/3606]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位1.Shandong jianzhu Univ, Sch Management Engn, Jinan 250101, Shandong, Peoples R China
2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
3.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
4.Univ Wisconsin, Sheldon B Lubar Sch Business, Milwaukee, WI 53201 USA
推荐引用方式
GB/T 7714
Su, Peng,Mao, Wenji,Zeng, Daniel,et al. Mining actionable behavioral rules[J]. DECISION SUPPORT SYSTEMS,2012,54(1):142-152.
APA Su, Peng,Mao, Wenji,Zeng, Daniel,&Zhao, Huimin.(2012).Mining actionable behavioral rules.DECISION SUPPORT SYSTEMS,54(1),142-152.
MLA Su, Peng,et al."Mining actionable behavioral rules".DECISION SUPPORT SYSTEMS 54.1(2012):142-152.

入库方式: OAI收割

来源:自动化研究所

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