Application of Big Data’s Association Rules in the Analysis of Sports Competition Tactics-Reference-Cited by-同舟云学术

Application of Big Data’s Association Rules in the Analysis of Sports Competition Tactics

Published:2020 Issue: Volume: Page:236-246
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

Ren Jia,Chen Chong-gao

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-51100-5_21

Reference18 articles.

1. Wang, X., Zhou, Y., Ning, C., Shi, A.: Image saliency detection via adaptive fusion of local and global sparse representation. J. Comput. Appl. 38(3), 866–872 (2018)

2. Cheng, M.M., Mitra, N.J., Huang, X., Torr, P.H., Hu, S.M.: Global contrast based salient region detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 569–582 (2015)

3. Liu, N., Han, J.: DHSNet: deep hierarchical saliency network for salient object detection. In: Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, pp. 678–686. IEEE Computer Society, Washington (2016)

4. Kim, W., Kim, C.: Spatiotemporal saliency detection using textural contrast and its applications. IEEE Trans. Circ. Syst. Video Technol. 24(4), 646–659 (2014)

5. Shan, Y., Wang, J.: Robust object tracking method of adaptive scale and direction. Comput. Eng. Appl. 54(21), 208–216 (2018)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big Data from Collection to Use in Competitive Games—A Study Case on Badminton;Communications in Computer and Information Science;2021