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<p>First, this paper studies the derivation process of the plain Bayesian classification algorithm in big data technology, which is built based on statistics. Then to make up for the feature independence assumption of plain Bayes, the plain Bayesian classification algorithm based on feature weighting is proposed to be optimized mainly by the Laplace algorithm, which improves the classification accuracy to a certain extent. Finally, based on the connotation and characteristics of health culture in Shaanxi, the formation and development of health culture theory in Shaanxi are clarified, and policy suggestions are proposed for the development problems of health culture in Shaanxi and the development level of cultural industry in Shaanxi province. The analysis of the health culture industry in Shaanxi is based on the vegetative Bayesian classification algorithm. The results show that the cultural service industry in Shaanxi Province achieved an output value of 41.309 billion yuan, accounting for 63.9% of the added value of the cultural industry in the province. The cultural manufacturing industry in Shaanxi accounts for a large gap with the national level, with a difference of 19.3 percentage points. This study combines big data technology and the advantages of Shaanxi’s healthy cultural resources to provide reasonable countermeasure suggestions to promote the transformation of Shaanxi from a large cultural province to a strong cultural province.</p>
</abstract>

First, this paper studies the derivation process of the plain Bayesian classification algorithm in big data technology, which is built based on statistics. Then to make up for the feature independence assumption of plain Bayes, the plain Bayesian classification algorithm based on feature weighting is proposed to be optimized mainly by the Laplace algorithm, which improves the classification accuracy to a certain extent. Finally, based on the connotation and characteristics of health culture in Shaanxi, the formation and development of health culture theory in Shaanxi are clarified, and policy suggestions are proposed for the development problems of health culture in Shaanxi and the development level of cultural industry in Shaanxi province. The analysis of the health culture industry in Shaanxi is based on the vegetative Bayesian classification algorithm. The results show that the cultural service industry in Shaanxi Province achieved an output value of 41.309 billion yuan, accounting for 63.9% of the added value of the cultural industry in the province. The cultural manufacturing industry in Shaanxi accounts for a large gap with the national level, with a difference of 19.3 percentage points. This study combines big data technology and the advantages of Shaanxi’s healthy cultural resources to provide reasonable countermeasure suggestions to promote the transformation of Shaanxi from a large cultural province to a strong cultural province.

Study on the current situation and countermeasures of the history of health culture development in Shaanxi based on the background of big data

Shaanxi (University) Key Research Base of Philosophy and Social Sciences—Health Culture Research Center

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

First, this paper studies the derivation process of the plain Bayesian classification algorithm in big data technology, which is built based on statistics....

Study on the current situation and countermeasures of the history of health culture development in Shaanxi based on the background of big data

Data publikacji: 09 wrz 2023

Zakres stron: -

Otrzymano: 23 paź 2022

Przyjęty: 20 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00318

Słowa kluczowe
Big data technology, Plain Bayesian classification algorithm, Laplace’s algorithm, Classification accuracy, Health culture in Shaanxi

© 2023 Wenhua Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Study on the current situation and countermeasures of the history of health culture development in Shaanxi based on the background of big data

Data publikacji: 09 wrz 2023

Zakres stron: -

Otrzymano: 23 paź 2022

Przyjęty: 20 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00318

Słowa kluczoweBig data technology, Plain Bayesian classification algorithm, Laplace’s algorithm, Classification accuracy, Health culture in Shaanxi

© 2023 Wenhua Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Big data technology, Plain Bayesian classification algorithm, Laplace’s algorithm, Classification accuracy, Health culture in Shaanxi