Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery(《Wiley跨学科评论:数据挖掘与知识探索》,以下简称WIREs DMKD)是Wiley出版社旗下的刊物,于1985年创刊。这本期刊的目标是介绍数据挖掘和知识发现的最新进展、从数据挖掘和知识发现的不同角度探讨关键主题的文章、捕捉数据挖掘和知识发现的迅速发展以及向...
期刊全称Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery 期刊缩写Wires Data Min Knowl 影响因子2.111 自引率6.30% SCI 收录情况SCIE收录; ESI 学科分类计算机科学(Computer Science) 中科院大类分区工程技术:3区 中科院小类分区计算机:人工智能3区 ...
data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) ...
WIREs Data Mining and Knowledge Discovery– part of the award-winning Wiley Interdisciplinary Reviews series – serves as an encyclopedic reference journal in this cutting-edge research field, capturing the latest developments on topics from algorithmic development and applications to technologies, and comm...
Actionable knowledge has been qualitatively and intensively studied in the social sciences. Its marriage with data mining is only a recent story. On the on... L Cao - 《Wiley Interdisciplinary Reviews Data Mining & Knowledge Discovery》
“discovery data”) a single clustering method is selected (where the “method” includes not only the choice of clustering algorithm, but also parameters such as the number of clusters and diverse pre/postprocessing steps), for example, via its performance with respect to internal/external ...
and the development of new drugs and treatments from the knowledge that previously was not possible to obtain or observe from such complex data. Machine learning, a subset of AI, can potentially assist clinicians in interpreting complex data in a relatively short period using specialized algorithms ...