Application and Research of Bayesian Network in Data Mining

Cui Fang Zheng; Long Jiang; Li Qing Jiang; Zhi Jie Wu

doi:10.4028/www.scientific.net/AMR.532-533.738

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533Application and Research of Bayesian Network in...

Application and Research of Bayesian Network in Data Mining

Abstract:

Data mining techniques give us a feasible method to deal with great amount of data, which is generated during the software developing. Many methods have been used in data mining, Bayesian networks become a focus currently. It is a powerful tool and can be used to do uncertain inference. Bayesian networks have several advantages for data modeling. This paper mainly discusses the definition and building of Bayesian networks, research software engineer based on data mining, and builder a application model of data mining in software engineer, description detail the core arithmetic of Bayesian network. An instance is presented to indicate the applications of Bayesian network in data mining technology final. The experimentation proves its practicality and availability.

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Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

738-742

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.738

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Online since:

June 2012

Authors:

Cui Fang Zheng, Long Jiang, Li Qing Jiang, Zhi Jie Wu

Keywords:

Bayesian Network (BN), Conditional Probability Distribution, Data Mining (DM), Software Engineer

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