scholarly journals The Impact of Entrepreneurship Education of Entrepreneurs on the Entrepreneurial Psychology of Sports Majors From the Perspective of Pedagogy

2021 ◽  
Vol 12 ◽  
Author(s):  
Taofeng Liu ◽  
Mariusz Lipowski ◽  
Yingying Xue ◽  
Tao Xiao ◽  
Hongzhen Liu ◽  
...  
Keyword(s):  
Data Mining ◽  
Influencing Factors ◽  
Entrepreneurship Education ◽  
Behavior Control ◽  
Entrepreneurial Behavior ◽  
Tree Model ◽  
Mining Technology ◽  
Sports Industry ◽  
National Training ◽  
The Impact

In recent years, with the continuous reform and innovation of the sports industry, the national training of sports talents has gradually developed into the training mode of skilled sports talents and professional talents in the field of sports. Therefore, the research on the influence of entrepreneurship education on the entrepreneurial psychology of sports majors has become the inevitable requirement of the development of the sports industry. The purposes are to understand the entrepreneurial psychology and its influencing factors of the students in sports majors after graduation and promote more suitable college students to start businesses and realize self-value. With the students in sports majors in four colleges of Y province as the research object, the typical model in psychology, planning behavior model, is taken as the basic theoretical basis. The questionnaire method combined with the data mining technology based on the decision tree model is adopted to study the influencing factors of entrepreneurial psychology of sports majors. It focuses on the influencing factors and mechanisms of the entrepreneurial drive of sports students. The results show that the three factors, namely, entrepreneurial behavior attitude, entrepreneurial subjective norms, and entrepreneurial perceptual behavior control, are different and interrelated. They are inseparable and can be transformed into each other under certain conditions. Three factors jointly drive the entrepreneurial behavior of students in sports majors. The entrepreneurial drive of students in sports majors in Y province is a dynamic system mechanism, which is analyzed using data mining technology. The entrepreneurial perceptual behavior control is the core factor affecting the entrepreneurial drive of students in sports majors. However, the success rate of entrepreneurs will be higher when the three elements play a reasonable role. The subjective factors driving their entrepreneurship will be reduced in direct proportion when entrepreneurs are deficient in one aspect.

Data Mining Based Intelligent System for Voting Behavior Analysis

2013 ◽  
Vol 284-287 ◽  
pp. 3070-3073
Author(s):  
Duen Kai Chen
Keyword(s):  
Data Mining ◽  
Behavior Analysis ◽  
Voting Behavior ◽  
Intelligent System ◽  
Data Sets ◽  
Tree Model ◽  
Mining Technology ◽  
Identification Rate ◽  
Voter Identification ◽  
Election Studies

In this study, we report a voting behavior analysis intelligent system based on data mining technology. From previous literature, we have witnessed increasing number of studies applied information technology to facilitate voting behavior analysis. In this study, we built a likely voter identification model through the use of data mining technology, the classification algorithm used here constructs decision tree model to identify voters and non voters. This model is evaluated by its accuracy and number of attributes used to correctly identify likely voter. Our goal is to try to use just a small number of survey questions while maintaining the accuracy rates of other similar models. This model was built and tested on Taiwan’s Election and Democratization Study (TEDS) data sets. According to the experimental results, the proposed model can improve likely voter identification rate and this finding is consistent with previous studies based on American National Election Studies.

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.

RESEARCH AND APPLICATION OF GIS AND DATA MINING TECHNOLOGY IN MONITORING AND ASSESSMENT OF NATURAL GEOGRAPHY ENVIRONMENT X

2018 ◽  
Vol 48 (4) ◽  
pp. 299-304
Author(s):  
X. L. ZHENG
Keyword(s):  
Data Mining ◽  
Development Process ◽  
Monitoring And Evaluation ◽  
Ecological Environment ◽  
Environment Monitoring ◽  
Gis Technology ◽  
Tree Model ◽  
Mining Technology ◽  
Geographical Environment ◽  
Land Types

At present, with the acceleration of the economic development process, the maintenance of the ecological environment has received extensive attention. In order to simplify the workflow of natural geographical environment monitoring and evaluation, this paper combines GIS technology and data mining technology, and builds a decision tree model with monitoring and evaluation as the core. Dongting Lake is taken as the research object to verify the validity of the model. The research results show that the algorithm designed in this paper can classify the land types of natural geographical environment and improve the accuracy of environmental monitoring and evaluation.

Are the Intentions to Entrepreneurship of Men and Women Shaped Differently? The Impact of Entrepreneurial Role-Model Exposure and Entrepreneurship Education

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
M. Entrialgo ◽  
V. Iglesias
Keyword(s):  
Role Models ◽  
Structural Equation ◽  
Role Model ◽  
Entrepreneurship Education ◽  
Equation Modeling ◽  
Entrepreneurial Behavior ◽  
Men And Women ◽  
Perceptions And Attitudes ◽  
Favorable Influence ◽  
The Impact

AbstractHow the exposure to role models and entrepreneurship education shape perceptions and attitudes toward entrepreneurship differently in men and women is analyzed in the context of Ajzen’s theory of planned behavior. To this end, structural equation modeling is applied to data from a sample of 338 final-year undergraduates. The results show that external factors seem to be more critical in the case of women to generate entrepreneurial behavior. In particular, exposure to parental role models has a significantly more favorable influence on attitude toward entrepreneurship in women than men, and exposure to entrepreneurship education has a greater effect over their perceived entrepreneurial behavior control in women than in men.

scholarly journals Analysis for Clients Churn of Credit Cards in Model Construction in Banking Industry

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Jianyao Liu
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Financial Market ◽  
Banking Industry ◽  
Credit Cards ◽  
Training Data ◽  
Tree Model ◽  
Data Set ◽  
Mining Technology ◽  
Testing Data

Data mining technology has been more and more important in the economics and financial market. Helping the banks to predict a customers’ behavior, which is that whether the existing customers will continue use their credit cards or not, we utilize the data mining technology to construct a convenient and effective model, Decision Tree. By using our Decision Tree model, which can classify the customers according to different features step by step, the banks are able to predict the customers’ behavior well. The main steps of our experiment includes collecting statistics from the bank, utilizing Min-Max normalization to preprocess the data set, employing the training data set to construct our model, examining the model by testing data set, and analyzing the results.

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