Research Article | OPEN ACCESS
The Application of Data Mining Technology Based on Bayesian Network Structure in Food Science Learning
Zhen-Feng Jiang
School of Information Science and Engineering, Zaozhuang University, Zaozhuang 277160, China
Advance Journal of Food Science and Technology 2016 2:70-73
Received: August 24, 2015 | Accepted: October 11, 2015 | Published: September 15, 2016
Abstract
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.
Keywords:
Bayesian network, data mining, food science learning,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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