Background Of Big Data Research Articles

Taobao transaction data mining based on time series evaluation under the background of big data

Taobao transaction data mining based on time series evaluation under the background of big data

Study on the current situation and countermeasures of the history of health culture development in Shaanxi based on the background of big data

Abstract First, this paper studies the derivation process of the plain Bayesian classification algorithm in big data technology, which is built based on statistics. Then to make up for the feature independence assumption of plain Bayes, the plain Bayesian classification algorithm based on feature weighting is proposed to be optimized mainly by the Laplace algorithm, which improves the classification accuracy to a certain extent. Finally, based on the connotation and characteristics of health culture in Shaanxi, the formation and development of health culture theory in Shaanxi are clarified, and policy suggestions are proposed for the development problems of health culture in Shaanxi and the development level of cultural industry in Shaanxi province. The analysis of the health culture industry in Shaanxi is based on the vegetative Bayesian classification algorithm. The results show that the cultural service industry in Shaanxi Province achieved an output value of 41.309 billion yuan, accounting for 63.9% of the added value of the cultural industry in the province. The cultural manufacturing industry in Shaanxi accounts for a large gap with the national level, with a difference of 19.3 percentage points. This study combines big data technology and the advantages of Shaanxi’s healthy cultural resources to provide reasonable countermeasure suggestions to promote the transformation of Shaanxi from a large cultural province to a strong cultural province.

The application of new media communication technology in vocational education teaching under the background of big data

Abstract Exploring the application of new media communication technology in vocational education teaching is better for improving the skill level of vocational school students. In this paper, starting from the KNN algorithm in the context of big data, the basic principle and process of the algorithm are explained, and the principle and model of the wolf pack optimization algorithm are introduced. The parameters of the KNN algorithm are optimized using the wolf pack search algorithm, and the definition of the objective function, initialization and solution of the optimal K value are given, which leads to the WPOA-KNN analysis model. The new media communication technology is analyzed, including teaching media, new media teaching technology and the advantages of new media communication technology applied to vocational education teaching. The WPOA-KNN analysis model was used to analyze and demonstrate the teaching of new media technology for vocational education in a higher education institution. From the satisfaction evaluation, the percentage of those who said they liked it was 76.06%, and the percentage of those who disliked it was only 9.09%. In terms of students’ learning behavior, the overall percentage of those who rated above C grade was 92.37%. This shows that using new media communication technology for vocational education teaching can enhance students’ learning enthusiasm, make them have a more exquisite technical level, and meet the diversified talent needs of employing enterprises.

Retracted: Health Care Intervention Measures for the Elderly under the Smart Sports Rehabilitation Mode under the Background of Big Data

Retracted: Health Care Intervention Measures for the Elderly under the Smart Sports Rehabilitation Mode under the Background of Big Data

Retracted: Construction of College Sports Teaching Evaluation System under the Background of Big Data

Retracted: Construction of College Sports Teaching Evaluation System under the Background of Big Data

Exploring the teaching practice of visual communication design in colleges and universities under the background of big data

Abstract Under the digitalization of big data information, how to use big data technology to combine with visual communication design teaching has become a key topic of concern in the current education sector. Firstly, this paper proposes using a deep learning model based on big data technology for teaching practice research of visual communication design majors in colleges and universities and constructs a deep learning model by combining perceptron and bp neural algorithm for data mining property and accurate prediction. Secondly, the deep learning model is optimized by using the activation function and knowledge distillation function in response to the limitation problem of the deep learning model. Then the teaching evaluation data of visual communication design majors in colleges and universities are obtained through questionnaire survey work, and evaluation indexes are determined according to the evaluation data. Finally, students of visual design majors at Guizhou Vocational and Technical College were selected as research samples, and the practice performance of communication design majors was analyzed based on the deep learning model. The results showed that the deep learning model: from week 1 to week 20, the score improved from 52 to 88, which improved the score by 69.23%. The traditional method: from week 1 to week 20, the score improved from 52 to 80, improving the score by 53.84%. This study is conducive to promoting the healthy development of the visual communication profession and cultivating design talents that meet the needs of the information age and is of great significance to the development of the visual communication profession in China.

Retracted: A Teaching Model Combining Aesthetic Education and Action Education Based on Cluster Mining under the Background of Big Data

Retracted: A Teaching Model Combining Aesthetic Education and Action Education Based on Cluster Mining under the Background of Big Data

Retracted: Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data

Retracted: Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data

Research on the Comprehensive Reform and Innovative Development of Postgraduate Education in Colleges and Universities Under the Background of Big Data

Research on the Comprehensive Reform and Innovative Development of Postgraduate Education in Colleges and Universities Under the Background of Big Data

Dilemma and countermeasures of community sports center governance under the background of big data and Internet of Things

My country is currently in a new era of industrial revolution and technological development, among which the most representative is the rapid development of information technology. And the action plan has been formulated, and it is pointed out that it is necessary to deeply integrate the real economy and artificial intelligence, the Internet and digital China, as well as the smart society and big data. As the most critical part of community governance, the complexity and difficulty of community sports center governance is relatively high. Therefore, one of the key goals that all sectors of society are currently concerned about is how to build and develop community sports through more advanced technical means center. The innovative governance community sports center must effectively combine and integrate the current advanced technologies such as the Internet of Things and big data, so that the level of community governance can be effectively improved. This paper draws on the academic background of “governance” in the field of public management. Different from social management, “governance” mainly reflects the administrative aspect, the cooperation between the government and all sectors of society, while the traditional social management mainly highlights the state’s administrative management. It reflects the concept that the government’s management power is inviolable and unshareable, which is also very different from the development direction of the gradual liberalization of the administrative power advocated by the Chinese government. Therefore, the effective way to solve various social problems at this stage is to change the concept of social management to community governance, and this approach has also been supported and valued by the government in recent years. The research shows that the management efficiency of community sports facilities can be effectively improved by optimizing the community sports governance system, making full use of the convenience brought by information resources, and using its own advanced technology.

Influence of Chinese red culture on foreign communication under the background of big data and Internet of Things

Red culture was born in the revolutionary war era. It contains a rich revolutionary spirit and profound historical and cultural connotations. It plays a pivotal role in education, politics, economy and society, and has a crucial influence in all aspects. In this paper, based on the analysis of big data and IoT-related theories, the current issues of red culture dissemination and influence development are obtained through interviews and questionnaire surveys. In terms of red culture dissemination channels, based on big data, solutions such as establishing a digital red culture database, pinpointing demand groups and combining recommendation algorithms are proposed to improve the speed and impact of dissemination. The coordinated red culture has been improved in terms of dissemination speed, dissemination efficiency, depth of influence, number of influencers, and breadth of influence. The innovation of this paper is to study the development of red culture through big data and Internet of things technology, explore the problems existing in the development of red culture from a new perspective, and put forward corresponding strategies, which is of great innovation.

Impact of patent quality on enterprises’ export competitiveness under the background of big data and Internet of Things

After entering the new century, the role of science and technology and innovation in promoting economic development has become increasingly obvious, and the Chinese government has also attached great importance to patent management. With the joint efforts of the people of the whole country, the number of patent applications in China has been among the highest in the world for many consecutive years. However, from the perspective of patent quality, there is still a certain gap with developed countries, resulting in generally low efficiency for Chinese export enterprises. Therefore, it is of great significance to explore the relationship between the quality of patents and the competitiveness of exporting enterprises. Through variance calculation, we constructed a countermeasure system for using intellectual property rights to enhance competitiveness. The experimental results show that the patent quality is proportional to the competitiveness of export enterprises, and the higher the patent quality, the stronger the competitiveness of export enterprises. The development of this study further clarifies the important value of patent quality, which helps export enterprises adjust their development strategies and effectively enhance their competitiveness.

Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things

As the focus and difficulty of global ecological governance, rock-soluble graphite ecological issues have been plagued by the research and exploration of ecologists for many years. This article studies the current development status of rock-soluble graphite. Features and laws targeted implementing the ecological restoration strategies of rock-soluble graphite regions under the background of big data and the Internet of Things. By establishing a mathematical analysis model of the total ecological assets, the theoretical research on the restoration process and means of ecology. In the past 20 years, the southwest region’s ecological improvement and governance situation has been summarized and analyzed, and the key aspects and main contents of ecological restoration are analyzed and demonstrated.

Retracted: Mathematical Model Construction of Teaching Evaluation in Colleges and Universities Based on Convolutional Neural Network under the Background of Big Data

Retracted: Mathematical Model Construction of Teaching Evaluation in Colleges and Universities Based on Convolutional Neural Network under the Background of Big Data

Retracted: Innovative Research on Teaching Method of Taekwondo in College Elective Courses under the Background of Big Data.

[This retracts the article DOI: 10.1155/2022/2329952.].

Research on Healing Furniture Design under the Background of Big Data

From the background of healing furniture, the concept of healing furniture, its current status and its own characteristics, the design ideas and methods of designing healing furniture for children with depression are analysed. From the concept of big data, the impact of big data on three different aspects of healing furniture design is investigated. Based on the behavioural and sensory aspects of depressed children, the healing design needs of depressed children for furniture design are presented, and a concrete case study is used to demonstrate the design of furniture for depressed children based on the concept of healing design. The design approach of behavioural intervention, sensory soothing and emotional empathy is proposed to meet the psychological healing needs of depressed children. The introduction of healing interactive design into the design of furniture for depressed children not only allows for timely analysis of the psychological changes in depressed children, but also promotes the ability of depressed children to perceive externally and makes healing furniture more innovative.

Application and Reflection of Big Data in the Primary Mathematics Curriculum

With the vigorous development of science and technology in China, especially the wide application of big data, the concepts and practices of education and teaching are also being improved and optimized, and many new methods, strategies and means have emerged. In the primary school mathematics curriculum under the background of big data, teachers can make full and effective use of big data resources to provide students with more colorful teaching resources and bring students more lively classroom teaching. Based on the relevant understanding of big data and its development prospects, this paper introduces the application of big data in the primary school mathematics classroom, and combines reflection to put forward several suggestions for primary school mathematics teachers to use big data to improve teaching.

Development Model of Agriculture + Travel Industry Integration in the Context of Big Data Explore: A case study from Huyi District, Xi'an

INTRODUCTION: The new industrial model of agriculture + tourism has been developed for quite some time, however, in the rapid development of information technology, especially the algorithm is further integrated into the agriculture and tourism industry, this fusion industry has ushered in a new round of development opportunities, but with the development of human society, the traditional model of agriculture and tourism will be gradually eliminated.
 OBJECTIVES: This paper is aimed at developing the regional needs of agriculture + tourism industry, using advanced big data technology and algorithmic technology to follow the pace of the times, in-depth understanding of the current social needs of agriculture + tourism, so as to better develop their own industries.
 METHODS:Through the algorithmic technology to analyze the agro-tourism model that is currently being developed in Xi'an, to analyze the problems that arise in the process of its development, and to use the background of big data and clustering algorithmic technology to put forward the corresponding targeted improvement strategies.
 RESULTS: Utilizing Shuangyi District in Xi'an City as a case study to apply the theory and explore new development paths.
 CONCLUSION: Shuangyi District, Xi'an City, is rich in soil and water resources, so it has a high level of agricultural development and a favorable geographic location, and also has a huge potential market in tourism. With the support of big data technology, the analysis of the current market demand and the development of local natural and human resources on the basis of maximizing the preservation of the original ecology can promote the development of the local economy.

Retracted: Design of Sports Training Improvement and Evaluation Method under the Background of Big Data

Retracted: Design of Sports Training Improvement and Evaluation Method under the Background of Big Data

Retracted: Effects of Nitrogen and Phosphorus Nutrients on the Proliferation of Heterosigma Akashiwo under the Background of Mobile Big Data

Retracted: Effects of Nitrogen and Phosphorus Nutrients on the Proliferation of Heterosigma Akashiwo under the Background of Mobile Big Data