scholarly journals Enterprise Commodity Marketing Innovation Based on Big Data Mining Technology

CONVERTER ◽  
2021 ◽  
pp. 613-619
Author(s):  
Feng Jun
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Association Rule ◽  
Current Data ◽  
Marketing Channels ◽  
Marketing Strategies ◽  
Mining Technology ◽  
Valuable Data ◽  
Marketing Innovation ◽  
Big Data Mining

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.

scholarly journals Influence of Healthy Physical Fitness on the Teaching of Aerobics Course Based on Big Data Mining Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Laipeng Xiao
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Physical Fitness ◽  
Physical Training ◽  
Body Shape ◽  
Teaching Experiment ◽  
The Body ◽  
Mining Technology ◽  
Big Data Mining ◽  
The Impact

Healthy physical fitness is one of the hot topics discussed by scholars at home and abroad in recent years, and it is a key indicator for evaluating students’ physical function and body shape. Aerobics, also known as bodybuilding, means that the body and health of students should have a better promotion effect, but in reality, many students found that after elective aerobics, body shape and health level basically did not improve, which is related to the setting of aerobics courses, especially the lack of physical training. Aerobics and other sports have common requirements in physical training, such as strength quality, speed quality, endurance quality, agility quality, and flexibility quality. This article is aimed at studying the impact of healthy physical fitness based on big data mining technology on the teaching of aerobics. On the basis of analyzing the process of data mining, the composition of healthy physical fitness, and the role of aerobics, it is used to test students in a certain university through experimental methods and statistical methods. Carry out aerobics teaching experiment, and compare and analyze the data measured by the experimental samples. The experimental results show that the use of healthy physical fitness in aerobics teaching can effectively promote the learning and improvement of aerobics skills.

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

2022 ◽  
Vol 16 ◽  
pp. 578-584
Author(s):  
Yafei Wang
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Network Model ◽  
Capture Rate ◽  
Marketing Strategies ◽  
Marketing Management ◽  
Mining Method ◽  
Market Demand ◽  
Trust Network ◽  
Big Data Mining

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.

scholarly journals An Experimental Analysis Of The Applications Of Datamiing Methods On Bigdata

2019 ◽  
Vol 2 (3) ◽  
Author(s):  
Chittoju Naga Santhosh Kumar ◽  
K S Reddy
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Design Of Experiment ◽  
Current Data ◽  
Work Processes ◽  
Valuable Data ◽  
Assessment Technique ◽  
Huge Data ◽  
Mining Methods ◽  
Data Investigation

Data mining is a procedure of separating covered up, obscure, however possibly valuable data from gigantic data. Huge Data impactsly affects logical disclosures and worth creation. Data mining (DM) with Big Data has been broadly utilized in the lifecycle of electronic items that range from the structure and generation stages to the administration organize. A far reaching examination of DM with Big Data and a survey of its application in the phases of its lifecycle won't just profit scientists to create solid research. As of late huge data have turned into a trendy expression, which constrained the analysts to extend the current data mining methods to adapt to the advanced idea of data and to grow new scientific procedures. In this paper, we build up an exact assessment technique dependent on the standard of Design of Experiment. We apply this technique to assess data mining instruments and AI calculations towards structure huge data examination for media transmission checking data. Two contextual investigations are directed to give bits of knowledge of relations between the necessities of data examination and the decision of an instrument or calculation with regards to data investigation work processes. 

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