Research on Medical Information Processing Based on Data Mining Technology
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-18123-8_39
Reference17 articles.
1. Sirichanya, C., Kraisak, K.: Semantic data mining in the information age: a systematic review. Int. J. Intell. Syst. 36(8), 3880–3916 (2021)
2. Li, Z.: Research on the new path of internet of things data mining under the background of cloud computing. J. Phys. Conf. Ser. 1915, 042089 (6 pp) (2021)
3. Istratova, E., Sin, D., Strokin, K.: A comparative analysis of data mining analysis tools. In: Pattnaik, P.K., Sain, M., Al-Absi, A.A., Kumar, P. (eds.) Proceedings of International Conference on Smart Computing and Cyber Security. Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2020). LNNS, vol. 149, pp. 165–72. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-7990-5_16
4. Chen, X., Zhao, D., Zhong, W., Ye, J.: Research on brain image segmentation based on FCM algorithm optimization. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds.) Multimedia Technology and Enhanced Learning. ICMTEL 2021, LNICST, vol. 388, pp. 278–289. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-82565-2_23
5. Gupta, P., Hoi, C.S.H., Leung, C.K., Ye, Y., Xiaoke, Z., Zhida Z.: Vertical data mining from relational data and its application to COVID-19 data. Big Data Analyses, Services, and Smart Data. Advances in Intelligent Systems and Computing (AISC 899), pp. 106–116 (2021)
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