Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm

With the advent of the information age, digital marketing models have begun to receive attention and to have applications in many industries. Although the digital marketing model has thus become a hot spot in the sales world, there is still not enough research on digital marketing. In order to optim...

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Autores principales:	Yishu Liu, Xiaoyan Huang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/32560e8e508e4b92bc1374c2afad0bec
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id	oai:doaj.org-article:32560e8e508e4b92bc1374c2afad0bec
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spelling	oai:doaj.org-article:32560e8e508e4b92bc1374c2afad0bec2021-11-15T01:19:24ZBrand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm1939-012210.1155/2021/9977221https://doaj.org/article/32560e8e508e4b92bc1374c2afad0bec2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9977221https://doaj.org/toc/1939-0122With the advent of the information age, digital marketing models have begun to receive attention and to have applications in many industries. Although the digital marketing model has thus become a hot spot in the sales world, there is still not enough research on digital marketing. In order to optimize brand digital marketing under internal and external security control based on the machine learning classification algorithm, this paper uses fuzzy system theory to perform fuzzy analysis on various experimental data studied, convert it into a fuzzy set, obtain the fuzzy solution of the related function, establish related models of machine learning classification algorithms, and identify and collect relevant experimental data in an intelligent way, saving time for data collection. This paper collects the customer characteristics, customer sensitivity, brand promotion, and brand revenue of a brand within seven days; then uses the classification algorithm and collected data to predict and analyze the future data results; and uses the machine learning classification algorithm model formula to solve the correlation function. The final experimental results show that, in the digital marketing mode, network marketing brings 75% of the benefits to the brand, which is the highest among the four digital marketing models, and it has the best brand publicity level, 45%. At the same time, customers’ sensitivity to the brand reaches 50% under the network marketing model.Yishu LiuXiaoyan HuangHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Yishu Liu Xiaoyan Huang Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm
description	With the advent of the information age, digital marketing models have begun to receive attention and to have applications in many industries. Although the digital marketing model has thus become a hot spot in the sales world, there is still not enough research on digital marketing. In order to optimize brand digital marketing under internal and external security control based on the machine learning classification algorithm, this paper uses fuzzy system theory to perform fuzzy analysis on various experimental data studied, convert it into a fuzzy set, obtain the fuzzy solution of the related function, establish related models of machine learning classification algorithms, and identify and collect relevant experimental data in an intelligent way, saving time for data collection. This paper collects the customer characteristics, customer sensitivity, brand promotion, and brand revenue of a brand within seven days; then uses the classification algorithm and collected data to predict and analyze the future data results; and uses the machine learning classification algorithm model formula to solve the correlation function. The final experimental results show that, in the digital marketing mode, network marketing brings 75% of the benefits to the brand, which is the highest among the four digital marketing models, and it has the best brand publicity level, 45%. At the same time, customers’ sensitivity to the brand reaches 50% under the network marketing model.
format	article
author	Yishu Liu Xiaoyan Huang
author_facet	Yishu Liu Xiaoyan Huang
author_sort	Yishu Liu
title	Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm
title_short	Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm
title_full	Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm
title_fullStr	Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm
title_full_unstemmed	Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm
title_sort	brand digital marketing under intranet security control based on the machine learning classification algorithm
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/32560e8e508e4b92bc1374c2afad0bec
work_keys_str_mv	AT yishuliu branddigitalmarketingunderintranetsecuritycontrolbasedonthemachinelearningclassificationalgorithm AT xiaoyanhuang branddigitalmarketingunderintranetsecuritycontrolbasedonthemachinelearningclassificationalgorithm
_version_	1718428914710216704

Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm

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