Jinhai Fang, Zuoling Xie, Haitao Cheng, Bin Fan, He Xu, Peng Li. Anomaly detection of diabetes data based on hierarchical clustering and CNN. In Yubin Liu, Yong Shi 0001, Yong Wang, Daji Ergu, Daniel Berg, James M. Tien, Jianping Li 0001, Yingjie Tian, editors, Proceedings of the 8th International Conference on Information Technology and Quantitative Management, ITQM 2020 & 2021, Developing Global Digital Economy after COVID-19, July 9-11, 2021, Chengdu, China. Volume 199 of Procedia Computer Science, pages 71-78, Elsevier, 2021. [doi]
@inproceedings{FangXCFXL21,
title = {Anomaly detection of diabetes data based on hierarchical clustering and CNN},
author = {Jinhai Fang and Zuoling Xie and Haitao Cheng and Bin Fan and He Xu and Peng Li},
year = {2021},
doi = {10.1016/j.procs.2022.01.010},
url = {https://doi.org/10.1016/j.procs.2022.01.010},
researchr = {https://researchr.org/publication/FangXCFXL21},
cites = {0},
citedby = {0},
pages = {71-78},
booktitle = {Proceedings of the 8th International Conference on Information Technology and Quantitative Management, ITQM 2020 & 2021, Developing Global Digital Economy after COVID-19, July 9-11, 2021, Chengdu, China},
editor = {Yubin Liu and Yong Shi 0001 and Yong Wang and Daji Ergu and Daniel Berg and James M. Tien and Jianping Li 0001 and Yingjie Tian},
volume = {199},
series = {Procedia Computer Science},
publisher = {Elsevier},
}