The application of data mining technology based on Bayesian network structure

Article type: Research Article

Authors: Jiang, Zhen-Feng

Affiliations: School of Information Science and Engineering, Zaozhuang University, Zaozhuang 277160, Shandong, China | E-mail: jiangzf_zaozhuang@126.com

Abstract: Data mining refers to discover unknown, effective and practical information from large database. Taking a brief introduction of data mining, and combining an explanation for data mining process and analysis of Bayesian network, it investigates the implementation of Bayesian network in this research work. Experimental results suggest that this proposed method is feasible and correct. The characteristics as its unique expression form of uncertainty knowledge, rich probabilistic expression abilities, and the incremental learning method for comprehensive priori knowledge, indicate the probability distributions and causal relations of objects, becoming one of the most striking focuses among numerous current data mining methods.

Keywords: Bayesian statistics, data mining, priori knowledge

DOI: 10.3233/JCM-170748

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 17, no. 4, pp. 645-654, 2017