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...

Full description

Saved in:
Bibliographic Details
Published in:Security and communication networks Vol. 2021; pp. 1 - 10
Main Authors: Liu, Yishu, Huang, Xiaoyan
Format: Journal Article
Language:English
Published: London Hindawi 03.11.2021
John Wiley & Sons, Inc
Subjects:
Algorithms
Artificial intelligence
Classification
Customers
Data analysis
Data collection
Digital marketing
Fuzzy logic
Fuzzy sets
Internet
Intranets
Machine learning
Market strategy
Marketing
Methods
Network security
Security
Sensitivity
Smart cities
System theory
Systems theory
Technology Acceptance Model
ISSN:1939-0114, 1939-0122
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1939-0114
1939-0122
DOI:10.1155/2021/9977221