Abstract
Originated from Bayesian statistics, Bayesian network,with such characteristics as its unique expression form of uncertainty knowledge, rich probabilistic expression abilities, and the incremental learning method for comprehensive priori knowledge,indicates the probability distributions and causal relations of objects, becoming one of the most striking focus among numerous current data mining methods. Taking a brief introduction of data mining for the point-cut of the study, and combining an explanation for the data mining process and an analysis of Bayesian Network, the paper investigates the implementation of Bayesian network applied in in learning.
Cite
CITATION STYLE
Wang, C., & Han, D. (2016). Data Mining Technology Based on Bayesian Network Structure Applied in Learning. International Journal of Database Theory and Application, 9(5), 267–274. https://doi.org/10.14257/ijdta.2016.9.5.27
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