Application of data mining technology and wireless network sensing technology in sports training index analysis

Application of data mining technology and wireless network sensing technology in sports training index analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Application of data mining technology and wireless network sensing technology in sports training index analysis Liqiu Qian, Jiatong Liu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-17559/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 Jun, 2020 Read the published version in EURASIP Journal on Wireless Communications and Networking → Version 1 posted 12 You are reading this latest preprint version Abstract The conventional analysis method can provide a general analysis of sports training index, but its ability is relatively low when analyzing niche data. To solve this problem, this paper proposes data mining technology. First, the indicator parameter classification is determined, then the data mining technology is imported, the sports training analysis mechanism is established through this technology, and the construction of the index analysis model is completed. The model is used to analyze the process of niche data mining, and effective data of training indicators are obtained. Deep learning is a method of machine learning based on representation of data.Through the coverage test, accuracy test and immunity test, the variable parameters of the comprehensive analysis capability are determined. Further calculation of this parameter shows that the comprehensive ability of the data mining application analysis method is improved by 37.14% compared with the conventional method, which is suitable for analysis of niche sports training indicators of different data types. Technical Communication Wireless network Data Mining Index Parameters Training Analysis Mechanism Sports Training Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Full Text Cite Share Download PDF Status: Published Journal Publication published 09 Jun, 2020 Read the published version in EURASIP Journal on Wireless Communications and Networking → Version 1 posted Editorial decision: Major revision 21 Apr, 2020 Review # 3 received at journal 13 Apr, 2020 Review # 2 received at journal 08 Apr, 2020 Reviewer # 2 agreed at journal 01 Apr, 2020 Reviewer # 3 agreed at journal 01 Apr, 2020 Review # 1 received at journal 01 Apr, 2020 Reviewers invited by journal 24 Mar, 2020 Reviewer # 1 agreed at journal 24 Mar, 2020 Editor assigned by journal 17 Mar, 2020 Editor invited by journal 16 Mar, 2020 Submission checks completed at journal 14 Mar, 2020 First submitted to journal 10 Mar, 2020 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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To solve this problem, this paper proposes data mining technology. First, the indicator parameter classification is determined, then the data mining technology is imported, the sports training analysis mechanism is established through this technology, and the construction of the index analysis model is completed. The model is used to analyze the process of niche data mining, and effective data of training indicators are obtained. Deep learning is a method of machine learning based on representation of data.Through the coverage test, accuracy test and immunity test, the variable parameters of the comprehensive analysis capability are determined. 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