scholarly journals Big Data Mining Method of Marketing Management Based on Deep Trust Network Model

Author(s):  
Yafei Wang

Through big data mining, enterprises can deeply understand the consumer preferences, behavior characteristics, market demand and other derived data of customers, so as to provide the basis for formulating accurate marketing strategies. Therefore, this paper proposes a marketing management big date mining method based on deep trust network model. This method first preprocesses the big data of marketing management, including data cleaning, data integration, data transformation and data reduction, and then establishes a big data mining model by using deep trust network to realize the research on the classification of marketing management data. Experimental results show that the proposed method has 99.08% accuracy, the capture rate reaches 88.11%, and the harmonic average between the accuracy and the recall rate is 89.27%, allowing for accurate marketing strategies.

CONVERTER ◽  
2021 ◽  
pp. 613-619
Author(s):  
Feng Jun

The advent of the era of big data has brought many opportunities and challenges to the marketing of enterprises. Enterprises should develop marketing channels according to the requirements of the market. At the same time, enterprises further mine valuable data information, so as to improve customer satisfaction for enterprise products. This paper analyzes the opportunities and challenges brought by the era of big data to the marketing market of enterprises, and explores how to innovate the marketing strategies of enterprises. This paper describes the background of the current data mining and the main data mining technology in this field. Then, it focuses on the association rule algorithm which is widely used in knowledge data mining technology and its application in marketing strategy.


Author(s):  
Feng Ye ◽  
Zhi-Jian Wang ◽  
Fa-Chao Zhou ◽  
Ya-Pu Wang ◽  
Yuan-Chao Zhou
Keyword(s):  
Big Data ◽  

Sign in / Sign up

Export Citation Format

Share Document