The construction of sports culture industry growth forecast model based on big data

With the continuous development of China’s social economy, China’s sports industry has also continued to develop nowadays and has been increasingly noticed. Although the sports industry has achieved great improvement in recent years, compared with the sports industry in developed countries, the development of China’s sports industry is still in a relatively weak state. The consumption of China’s sports industry does not account for a high proportion of GDP. However, with the improvement of people’s income level and quality of life, as well as the improvement of the quality of the national group, people consume increasingly sports products. The sports market continues to expand and becomes more diversified, providing good conditions for the development of China’s sports industry. Forecasting the improvement potential of China’s sports industry has also become a hot research topic in recent years. Based on the characteristics of the structure of China’s sports industry and the status quo of the industry’s development, this paper was aimed at researching the prediction of the improvement potential of the sports industry based on radio communication networks. The article combines the time series prediction algorithm and SVM regression algorithm under the radio spectrum prediction technology to forecast and analyze the development potential of China’s sports industry. The conclusion is that the prediction accuracy rate of China’s sports industry development potential based on radio communication spectrum prediction technology is 90%, which shows that the prediction of the development potential of sports industry based on radio communication network is relatively accurate and effective.

Section: Introductionmentioning

confidence: 99%

Forecast Analysis of the Overall Structure Characteristics and Development Potential of the Sports Industry Based on Wireless Communication Networks

Zhang

Jing

2022

“…Improved Big Data Technology Design. The big data environment is a branch environment in the information technology environment, in which the smart teaching model is carried out, which is the culminating stage in the development of information technology education while creating fever in the field of education [22]. Technology can realize the communication between human language and machine language; build data models to comprehensively record and collect behavioral data; use data collection, data intelligence analysis, real-time analysis of learning data, real-time pushing of resource data, dynamic feedback results, and other mutual combinations to promote the construction of the big data environment; and complete the construction and implementation of the wisdom classroom model in the new era of the big data environment so that students experience the teaching process interactive [23].…”

Section: Analysis Of the Role Of Big Datamentioning

confidence: 99%

Research on the Role of Big Data Technology in the Reform of English Teaching in Universities

Jia

2021

This paper provides an in-depth understanding and analysis of the reform of English teaching in colleges and universities by analyzing the role of big data technology for the reform through in-depth research and analysis. Based on the background of the era of education informatization, this study explores the transformative value of the integration of information technology and teaching activities and elaborates the relevant significance at the theoretical and practical levels. Based on this, the research method of this study is established. The realm of integration of information technology and teaching activities and its transformative value is taken as the focus of the study. The integration of information technology and teaching activities means that it is not only a simple superposition between information technology and teaching but also a process to explore the role and influence of information technology into teaching activities by deeply exploring the inner connection between the two, to complete the integration of information technology and teaching activities, and finally to realize the comprehensive development of student’s personality.

“…MapReduce adopts the master-slave mode, which is to set up a master node and multiple slave nodes to jointly complete the entire process of distributed computing [9,10]. In the calculation process, data processing needs to be carried out through the cooperation of two stages of map (mapping function) and reduce (reduction function).…”

Section: Use Mapreduce To Simplify Massive Datamentioning

confidence: 99%

Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT

Guo

Zou

2021

With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping k -means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.