Study on knowledge mining of the business intelligence system

Wei Shan; Qing Pu Zhang

doi:10.1109/WICOM.2007.1331

Study on knowledge mining of the business intelligence system

Wei Shan^*
, Qing Pu Zhang

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
Pages	5430-5433
Number of pages	4
DOIs	https://doi.org/10.1109/WICOM.2007.1331
State	Published - 2007
Externally published	Yes
Event	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 - Shanghai, China Duration: 21 Sep 2007 → 25 Sep 2007

Publication series

Name	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

Conference

Conference	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
Country/Territory	China
City	Shanghai
Period	21/09/07 → 25/09/07

Keywords

Bayesian
Business intelligence
Information theory
Knowledge mining

Access to Document

10.1109/WICOM.2007.1331

Cite this

Shan, W., & Zhang, Q. P. (2007). Study on knowledge mining of the business intelligence system. In 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 (pp. 5430-5433). Article 4341106 (2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007). https://doi.org/10.1109/WICOM.2007.1331

@inproceedings{47843751566a48f6bd64f55c85d57855,

title = "Study on knowledge mining of the business intelligence system",

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 = "Bayesian, Business intelligence, Information theory, Knowledge mining",

author = "Wei Shan and Zhang, \{Qing Pu\}",

year = "2007",

doi = "10.1109/WICOM.2007.1331",

language = "英语",

isbn = "1424413125",

series = "2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007",

pages = "5430--5433",

booktitle = "2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007",

note = "2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 ; Conference date: 21-09-2007 Through 25-09-2007",

}

Shan, W & Zhang, QP 2007, Study on knowledge mining of the business intelligence system. in 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007., 4341106, 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, pp. 5430-5433, 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, Shanghai, China, 21/09/07. https://doi.org/10.1109/WICOM.2007.1331

Study on knowledge mining of the business intelligence system. / Shan, Wei; Zhang, Qing Pu.
2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007. 2007. p. 5430-5433 4341106 (2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Shan, Wei

AU - Zhang, Qing Pu

PY - 2007

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N2 - 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.

AB - 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.

KW - Bayesian

KW - Business intelligence

KW - Information theory

KW - Knowledge mining

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U2 - 10.1109/WICOM.2007.1331

DO - 10.1109/WICOM.2007.1331

M3 - 会议稿件

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SN - 1424413125

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SN - 1424413125

SN - 9781424413126

T3 - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

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BT - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

T2 - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

Y2 - 21 September 2007 through 25 September 2007

ER -

Study on knowledge mining of the business intelligence system

Abstract

Publication series

Conference

Keywords

Access to Document

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