Early Warning Knowledge Management of Enterprise Crisis Based on Cluster Analysis

摘要：

In this paper, the thought of establishing the early warning knowledge management system of the enterprise crisis is proposed, and cluster analysis method is used to distinguish the early warning characteristic knowledge of enterprise crisis. First, the crisis texts are preprocessed based on the crisis information word-base.Then the crisis texts are clustered by using the K-means cluster method And the new formed crisis text belongs to a classified class. The class handling opinion is taken as the advisory opinion when the new crisis is handled. By the early warning characteristic knowledge, the department of enterprise crisis management may be assisted to handle the new enterprise crisis quickly and accurately.

关键词： Cluster analysis Crisis Early warning Knowledge management

作者: Rong Du Lina Yuan Yiming Cai

作者单位: School of Economics & Management, Harbin Engineering University

会议类型: 国际会议

会议名称: The Second International Workshop on Information Systems for Crisis Response and Management(ISCRAM CHINA 2007)(第二届国际危机响应与管理信息系统中国研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 282-289

在线出版日期: 2007-08-26（万方平台首次上网日期，不代表论文的发表时间）