Analysis of Characteristics of Tennis Singles Matches Based on 5G and Data Mining Technology

Li, Ming; Qin-sheng, LI; Li, Yuening; Yun-kun, Cui; Zhao, Xiufeng; Guo, Lei

doi:10.1155/2021/5549309

Cited by 12 publications

(14 citation statements)

References 38 publications

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“…Decision tree is a design method that operates slowly from the top to the bottom. After each iteration, a new cycle is required, and then a feature attribute is selected for bifurcation until it can no longer be bifurcated [12]. There are many indicators that can be used to measure this impurity, including entropy, exponent and error, these are relatively common.…”

Section: Data Miningmentioning

confidence: 99%

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Finite Element of Nanoscale Carbon Fiber-Reinforced Concrete Bridge Engineering Monitoring Based on Data Mining Technology

Dong

2022

Advances in Materials Science and Engineering

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The finite element method divides the existing solid structure into a finite number of elements. It integrates and analyzes the divided elements according to preset criteria, and then solves the equilibrium equation of the overall structure according to the corresponding boundary conditions. The problem is analyzed through a finite element model. A large amount of data from the experiment are derived, and then data mining technique is used to find out the data that are useful for the experiment. The purpose of this paper is to test bridge engineering through data mining technology, and then simulate different fiber-reinforced concrete models through finite element method. In this paper, three kinds of nanofibers, carbon fiber (CFRP), glass fiber (GFRP), and aramid fiber (AFRP) are used to make concrete bridges. Loading experiments are also carried out with different degrees of load on the bridge and 100 experiments on the error interval. The experimental results show that the displacement is proportional to the load to a certain extent. The carbon fiber concrete has a stronger positive correlation than the other two materials. Its finite element simulation experimental data have 78% error difference between 0 and 10, while the other two are around 40%.

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Section: Data Miningmentioning

confidence: 99%

“…Therefore, in the process of selecting the constitutive relationship of reinforced concrete in this simulation, the constitutive relationship provided by the relevant codes is mainly referred to. The stress-strain relationship of concrete under compression is as formulas (11) and (12):…”

Section: Finite Element Analysismentioning

confidence: 99%

Finite Element of Nanoscale Carbon Fiber-Reinforced Concrete Bridge Engineering Monitoring Based on Data Mining Technology

Dong

2022

Advances in Materials Science and Engineering

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“…Many schools now conduct physical activity and achievement tests for their students [ 13 ]. The majority of these post-test scores, however, are only saved as data or files in school computers, and these students are unaware of their physical condition despite having completed the relevant physical fitness tests [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm

Luo

2022

Computational Intelligence and Neuroscience

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Advances in network technology have led to extensive information technology construction work in all walks of life; universities, as a key component of national development, cannot be overlooked in this regard. In today’s universities, the Web-based integrated academic management information system is widely used, promoting higher education management system innovation and improving the management level of education departments and teaching management. The traditional management mode is incapable of locating “knowledge” in the mountains of student transcripts, and the original management mode must be improved. In business, finance, insurance, marketing, and other fields, digital exploration technology is widely used. This article describes the design approach for a data mining-based analysis and management system for PE course teaching quality, as well as the application of information technology and data mining technology in PE by combining actual PE teaching in schools, with the goal of realizing a data mining-based PE performance management system to serve PE teaching in schools and improve PE teaching quality. The results show that the time required to find frequent itemsets using a traditional algorithm running on a single machine, as well as the time required to scan the database several times for frequent itemset search in a distributed cluster of 20 computing nodes, is significantly longer than that required by the data mining algorithm. As a result, the proposed sports performance management system is functional, simple, and scalable, with each functional module operating independently and cooperatively, reflecting the concept of “high cohesion and low coupling.”

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“…Wang et al excavated the relevant knowledge of extraction parameters from the historical data of the extraction process of traditional Chinese medicine and used it to guide the technicians to select the influencing factors of the orthogonal test and the level of each factor [ 4 ]. Using the theoretical basis of 5G and association analysis data mining, Li et al designed a data model of tennis technical offensive tactics and association rules, which can calculate the distribution rate of certain methods [ 5 ]. Many heuristics have been proposed before to build near-optimal decision trees.…”

Section: Introductionmentioning

confidence: 99%

Deconstruction of the Prevention of Knee Osteoarthritis by Swimming Based on Data Mining Technology

Yin

2022

BioMed Research International

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With the continuous development of big data and the continuous improvement of people’s living standards, increasingly attention is paid to physical health. Swimming in this sport is effective in preventing the occurrence of arthritis. This paper analyzes the prevention and exploration of arthritis and relies on the traditional method of retrieving clinical literature on the treatment of knee osteoarthritis with traditional Chinese medicine and internal medicine, which requires a lot of manpower and material resources. At this time, the role of data mining technology is brought into play. This article analyzes the prevention of arthritis by swimming. If you rely on the traditional retrieval of clinical literature on the treatment of knee osteoarthritis with traditional Chinese medicine and internal medicine, you will find a lot of disordered data. It takes a lot of manpower and material resources to sort out the summary, and at this time, the role of data mining (DM) technology is brought into play. In this paper, the relevant information of the literature that meets the requirements is established in an Excel database, and the data of the relevant information is entered. Through sorting and analysis, the TCM syndrome types of knee osteoarthritis are summarized. Then, DM technology was used to carry out statistical analysis of frequency and prescription, to summarize the distribution characteristics of the corresponding knee osteoarthritis, TCM syndrome types, and the weight of each syndrome type, and to make a preliminary discussion at the same time. Finally, it is concluded that there are better prevention methods for arthritis in the research methods of traditional Chinese medicine. DM technology has been increasingly applied to all aspects of traditional Chinese medicine. DM technology has improved its research efficiency by 38% and achieved great results, which will play a greater role in promoting the research process of TCM syndrome.

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Analysis of Characteristics of Tennis Singles Matches Based on 5G and Data Mining Technology

Cited by 12 publications

References 38 publications

Finite Element of Nanoscale Carbon Fiber-Reinforced Concrete Bridge Engineering Monitoring Based on Data Mining Technology

Finite Element of Nanoscale Carbon Fiber-Reinforced Concrete Bridge Engineering Monitoring Based on Data Mining Technology

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm

Deconstruction of the Prevention of Knee Osteoarthritis by Swimming Based on Data Mining Technology

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