A New Research Field: Intelligent Knowledge Management

被引：3

作者：

Zhang, Lingling ^{[1
,2
]}

Li, Jun ^{[2
]}

Li, Aihua ^{[3
]}

Zhang, Peng ^{[2
]}

Nie, Guangli ^{[2
]}

Shi, Yong ^{[4
,5
]}

机构：

[1] Chinese Acad Sci, Grad Univ, Beijing 100864, Peoples R China

[2] Chinese Acad Sci, Res Ctr Fictitious Econ & Data, Beijing, Peoples R China

[3] Cent Univ Finance & Econ, Beijing 100190, Peoples R China

[4] Chinese Acad Sci, Res Ctr Fictitious Econ & Data, Beijing 100190, Peoples R China

[5] Univ Nebraska Omaha, Coll Informat Sci & Technol, Omaha, NE 68118 USA

来源：

2009 INTERNATIONAL CONFERENCE ON BUSINESS INTELLIGENCE AND FINANCIAL ENGINEERING, PROCEEDINGS | 2009年

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

data; data mining; knowledge management; intelligent knowledge; intelligent knowledge management; DISCOVERY;

D O I：

10.1109/BIFE.2009.108

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

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 beyond data mining, but also enhances the quantitative analysis of knowledge management on hidden patterns from data mining.

引用

页码：450 / 454

页数：5

共 11 条

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