.png){kind=icon}
返回
Actionable knowledge discovery and delivery
.png){kind=icon}
PRE
AI
DOI：10.1002/widm.1044.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Actionable knowledge has been qualitatively and intensively studied in the social sciences. Its marriage with data mining is only a recent story. On the one hand, data mining has been booming for a while and has attracted an increasing variety of increasing applications. On the other, it is a reality that the so-called knowledge discovered from data by following the classic frameworks often cannot support meaningful decision-making actions. This shows the poor relationship and significant gap between data mining research and practice, and between knowledge, power, and action, and forms an increasing imbalance between research outcomes and business needs. Thorough and innovative retrospection and thinking are timely in bridging the gaps and promoting data mining toward next-generation research and development: namely, the paradigm shift from knowledge discovery from data to actionable knowledge discovery and delivery. (C) 2012 Wiley Periodicals, Inc.
Keyword:
DOMAIN-DRIVEN
ACTION-RULES
AGENT
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
11.7
论文数:
544
被引数:
5.3K
机构
暂无机构信息
引用论文
More than an answer: Information relationships for actionable knowledge.png)
ORGANIZATION SCIENCE
ORGANIZATION SCIENCEIF5.4
PREAI
分享收藏
查看更多内容