An Implementation of Optimum Tender Price Automatic Calculation System using Statistical Analysis Technique 


Vol. 33,  No. 11, pp. 1013-1019, Nov.  2008


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  Abstract

Recently, various information and data are efficiently used by the rapid growth of its Internet in our real life. But, users have spent lots of time finding necessary information for the increased amounts of information. To solve this problem, it can be provided the speed, accuracy of information search with development of intelligent search engines, agent system etc. In this paper, we propose the method of getting the best tender price in the analysis of the construction bid information that needs its professionalism by on the purpose to maximize users' satisfaction. Of course, if it is not under the unit of a results in the future, we put target of this paper on part to heighten supreme successful bid success rate. Therefore, this paper embodies offered system of web based on producing tender price of most suitable through techniques to produce tender price about successful bid that compare with bidder fare by statistical analysis incidental and value approaching successful bidder fare by frequency analysis method.

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  Cite this article

[IEEE Style]

B. Kim, S. Lee, D. Cho, "An Implementation of Optimum Tender Price Automatic Calculation System using Statistical Analysis Technique," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 11, pp. 1013-1019, 2008. DOI: .

[ACM Style]

Bong-hyun Kim, Se-hwan Lee, and Dong-uk Cho. 2008. An Implementation of Optimum Tender Price Automatic Calculation System using Statistical Analysis Technique. The Journal of Korean Institute of Communications and Information Sciences, 33, 11, (2008), 1013-1019. DOI: .

[KICS Style]

Bong-hyun Kim, Se-hwan Lee, Dong-uk Cho, "An Implementation of Optimum Tender Price Automatic Calculation System using Statistical Analysis Technique," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 11, pp. 1013-1019, 11. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880