A New Research Field: Intelligent Knowledge Management

摘要：

Knowledge or hidden patterns discovered by data mining from large-scale databases has great novelty, which is often unable to be gained from the experts. Given large-scale databases, this paper proposes foundations of intelligent knowledge management. It enables to generate special knowledge, called intelligent knowledge base on the hidden patterns created by data mining. Furthermore, this paper systematically analyzes the process of intelligent knowledge management-a new proposition from original data, rough knowledge, intelligent knowledge, and actionable knowledge as well as the four transformations (4T) of these items. This study not only promotes more significant research beond data mining, but also enhances the quantitative analysis of knowledge management on hidden patterns from data mining.

关键词： data data mining knowledge management intelligent knowledge intelligent knowledge management

作者: Lingling Zhang Jun Li Aihua Li Peng Zhang Guangli Nie Yong Shi

作者单位: Graduate University of Chinese Academy of Sciences Rcsearch Centre on Fictitious Economy and Data Sc Central University of Finance and Economics Beijing, (100190), China Research Centre on Fictitious Economy and Data Science, CAS Beijing (100190), China College of Infor

会议类型: 国际会议

会议名称: The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

会议地点: 北京

会议语种:英文

页码: 450-454

在线出版日期: 2009-07-24（万方平台首次上网日期，不代表论文的发表时间）