Construction of Distributed Database Model Of Mass Sports Data of College Based on Cloud Computing
Author: 
Fan ZhangAuthors Info & Claims
Pages 93 - 97
Abstract
This paper studies the construction and data mining of college sports database model. Aiming at the problems of low parallelism and unsystematic of current sports data processing, this paper proposes a mass of college sports data modeling and analysis method based on cloud computing to improve the management and analysis ability of college sports information, and constructs a distributed database model of college sports data. In the cloud computing environment, the database access model is designed, and the K-means data clustering method is used to mine the reliability of sports data, so as to realize the optimal information scheduling and retrieval analysis of college sports data. The simulation results show that the model has good real-time performance, high accuracy and reliability, and has a certain application prospect.
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Index Terms
- Construction of Distributed Database Model Of Mass Sports Data of College Based on Cloud Computing
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Published In
November 2018
224 pages
ISBN:9781450365772
DOI:10.1145/3291078
Copyright © 2018 ACM.
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Association for Computing Machinery
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Published: 05 November 2018
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- Refereed limited
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ICEEL 2018
ICEEL 2018: 2018 2nd International Conference on Education and E-Learning
November 5 - 7, 2018
Bali, Indonesia
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