The Application of Data Mining Technology Based on Bayesian Network Structure in Food Science Learning

摘要

The paper investigates the implementation of Bayesian network in food science learning. 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. 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 prior knowledge, indicates the probability distributions and causal relations of objects, becoming one of the most striking focus among numerous current data mining methods.