Knowledge Mining: A Cross-disciplinary Survey

doi:10.1007/s11633-022-1323-6

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	Knowledge Mining: A Cross-disciplinary Survey
	Yong Rui, Vicente Ivan Sanchez Carmona, Mohsen Pourvali, Yun Xing, Wei-Wen Yi, Hui-Bin Ruan, Yu Zhang
刊名	Machine Intelligence Research
	2022
卷号	19 页码:89-114
关键词	Knowledge mining knowledge extraction information extraction association rule interpretability
ISSN号	2731-538X
DOI	10.1007/s11633-022-1323-6
英文摘要	Knowledge mining is a widely active research area across disciplines such as natural language processing (NLP), data mining (DM), and machine learning (ML). The overall objective of extracting knowledge from data source is to create a structured representation that allows researchers to better understand such data and operate upon it to build applications. Each mentioned discipline has come up with an ample body of research, proposing different methods that can be applied to different data types. A significant number of surveys have been carried out to summarize research works in each discipline. However, no survey has presented a cross-disciplinary review where traits from different fields were exposed to further stimulate research ideas and to try to build bridges among these fields. In this work, we present such a survey.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/47398]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	Lenovo Research, Beijing 100094, China
推荐引用方式 GB/T 7714	Yong Rui, Vicente Ivan Sanchez Carmona, Mohsen Pourvali, Yun Xing, Wei-Wen Yi, Hui-Bin Ruan, Yu Zhang. Knowledge Mining: A Cross-disciplinary Survey[J]. Machine Intelligence Research,2022,19:89-114.
APA	Yong Rui, Vicente Ivan Sanchez Carmona, Mohsen Pourvali, Yun Xing, Wei-Wen Yi, Hui-Bin Ruan, Yu Zhang.(2022).Knowledge Mining: A Cross-disciplinary Survey.Machine Intelligence Research,19,89-114.
MLA	Yong Rui, Vicente Ivan Sanchez Carmona, Mohsen Pourvali, Yun Xing, Wei-Wen Yi, Hui-Bin Ruan, Yu Zhang."Knowledge Mining: A Cross-disciplinary Survey".Machine Intelligence Research 19(2022):89-114.