Study on Knowledge Mining of the Business Intelligence System

Author

Shan, Wei ; Zhang, Qing-Pu

Author_Institution

Sch. of Manage., Harbin Inst. of Technol., Harbin

fYear

2007

fDate

21-25 Sept. 2007

Firstpage

5435

Lastpage

5438

Abstract

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.

Keywords

Bayes methods; competitive intelligence; data mining; information theory; knowledge management; Bayesian estimation algorithm; Shannon information theory; business intelligence system; consistency problem; data acquisition; knowledge acquisition; knowledge evaluation system; knowledge mining; redundancy problem; Bayesian methods; Data mining; Databases; Information theory; Intelligent systems; Knowledge acquisition; Knowledge management; Management information systems; Paper technology; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1311-9

Type

conf

DOI

10.1109/WICOM.2007.1331

Filename

4341106