Study on Knowledge Mining of the Business Intelligence System

摘要：

The paper analyzes knowledge mining of the Business Intelligence System, it mainly studies in knowledge evaluation system of knowledge acquisition and give solutions of solving the data acquisition of redundancy problem and consistency problem. In order to improve the accuracy and efficiency of knowledge acquisition, it establishes a knowledge mining model based on Shannon information theory, combined with Bayesian estimation algorithm, it gives a specific calculate model, which gives real example deduction to the main part of the model.

关键词： Business Intelligence knowledge mining Information theory Bayesian

作者: SHAN Wei ZHANG Qing-pu

作者单位: School of Management Harbin Institute of Technology Harbin, P.R.China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）