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.
- Yan, H, F. Jiang, H. Zhang, W, Q. 2014. Estimate the Optimal Length of Branch Sequence for No Root Tree by the MCEM Algorithm. Natural Science Journal of Xiangtan college. 36, 2 (August. 2014), 13--16.Google Scholar
- Liu, Y. Su, J, F. and Zhu, M, Q. 2013. A Monte-Carlo Localization Algorithm Based on Iterated Cubature Particle Filter. Information and Control. 42, 5 (November. 2013), 632--638.Google Scholar
- Xu, J, L. Zhao, R, C. and Han, L. 2015. Vector exploring path optimization algorithm of superword level parallelism with subsection constraints. Journal of Computer Applications. 35, 4 (June. 2015), 950--955.Google Scholar
- Zhou, Y, L. 2015. Research on multi-channel data decoding technology based on FPGA. Internet of things technologies. 39, 3 (September. 2015), 32--34.Google Scholar
- Du, L, P. Li, X, G. and Zhou, Y, Z., et al. 2015. Application of improved point-wise mutual information in term extraction. Journal of Computer Applications. 20, 6 (June. 2015), 996--1000.Google Scholar
- Yamamoto, K. Carusone A. 2011.A 1-1-1-1 MASH Delta-Sigma Modulator With Dynamic Comparator-Based OTAs.IEEE Journal of Solid-State Circuits. 47, 8 (August. 2012), 1866--1883.Google Scholar
- CZIBULA, G. MARIAN, Z. and CZIBULA, I, G. 2014. Detecting software design defects using relational association rule mining.Knowledge and information systems. 42, 3 (January. 2014), 545--577. Google ScholarDigital Library
- HILLS, J. BAGNALL, A. IGLESIA, B., et al. 2013. BruteSuppression: a size reduction method for Apriori rule sets.Journal of intelligent information systems. 40, 3 (June. 2013), 431--454. Google ScholarDigital Library
- Yang, T. Shia, B. C. Wei, J., et al. 2012. Mass Data Analysis and Forecasting Based on Cloud Computing. Journal of Software, 7, 10 (October. 2012), 2189--2195.Google ScholarCross Ref
- Hu, Z, H. Zhou, J, X. and Zhang, M, J. 2015. Methods for ranking college sports coaches based on data envelopment analysis and PageRank. Expert Systems, 32, 6 (December. 2015), 652--673. Google ScholarDigital Library
Index Terms
- Construction of Distributed Database Model Of Mass Sports Data of College Based on Cloud Computing
Recommendations
Data storage auditing service in cloud computing: challenges, methods and opportunities
Cloud computing is a promising computing model that enables convenient and on-demand network access to a shared pool of configurable computing resources. The first offered cloud service is moving data into the cloud: data owners let cloud service ...
A Conceptual Platform of SLA in Cloud Computing
DASC '11: Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure ComputingCloud computing is a promising technology, where the infrastructure, developing platform, software and storage are delivered as a service. With the development of cloud computing, more and more cloud service providers emerge. However, there are no ...
A Database Middleware Architecture for MPI-based Cloud Platform
DCABES '14: Proceedings of the 2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and ScienceTo solve the poor performance of existing cloud platforms in high-performance computing, our research team developed a high-performance cloud computing platform based on MPI. As a cloud platform, massive data storage is a key technology. In the research,...
Comments