Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Guangxing Cai"'
Publikováno v:
IEEE Access, Vol 11, Pp 96374-96386 (2023)
Breast cancer has replaced lung cancer as the number one cancer among women worldwide. In this paper, we take breast cancer as the research object, and pioneer a hybrid strategy to process the data, and combine the machine learning method to build a
Externí odkaz:
https://doaj.org/article/9e907d796d3d4726ac47d5197089bdf1
Publikováno v:
IEEE Access, Vol 11, Pp 54240-54253 (2023)
The privacy protection problem in data mining has received increasingly attention and is a hot topic of current research. To address the problems of large accuracy loss and instability of clustering results of clustering algorithms under differential
Externí odkaz:
https://doaj.org/article/a04a3bde26054536949eb14438b988fe
Publikováno v:
IEEE Access, Vol 11, Pp 1418-1431 (2023)
A new density peak clustering (DPC) algorithm with adaptive clustering center based on differential privacy was proposed to solve the problems of poor adaptability of high-dimensional data, inability to automatically determine clustering centers, and
Externí odkaz:
https://doaj.org/article/64a37eae29cc4af690dffa3db7e6b526
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10755 (2023)
In order to improve the classification effect of the logistic regression (LR) model for breast cancer prediction, a new hybrid feature selection method is proposed to process the data, using the Pearson correlation test and the iterative random fores
Externí odkaz:
https://doaj.org/article/610f652db8a445abb6f1c4367fa1e41b
An Improved Density Peak Clustering Algorithm Based on Chebyshev Inequality and Differential Privacy
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8674 (2023)
This study aims to improve the quality of the clustering results of the density peak clustering (DPC) algorithm and address the privacy protection problem in the clustering analysis process. To achieve this, a DPC algorithm based on Chebyshev inequal
Externí odkaz:
https://doaj.org/article/256a4d2cd6bc46f59c266bcd1f4fb27a
Publikováno v:
Computational Intelligence and Neuroscience. 2023:1-9
Breast cancer is the most common and deadly type of cancer in the world. Based on machine learning algorithms such as XGBoost, random forest, logistic regression, and K-nearest neighbor, this paper establishes different models to classify and predict
Publikováno v:
In Journal of Number Theory November 2014 144:234-243
Autor:
Zhirui Zhao, Haimiao Wu, Tuo Jin, Huiying Liu, Jianan Men, Guangxing Cai, Tomislav Cernava, Guilan Duan, Decai Jin
Publikováno v:
Science of The Total Environment. 871:162034
Autor:
Mengyang Liu, Anran Tang, Huitian Wang, Lin Shen, Yunhan Chang, Guangxing Cai, Daheng Yin, Fang Dong, Wei Zhao
Publikováno v:
2021 Ninth International Conference on Advanced Cloud and Big Data (CBD).
Publikováno v:
ICDCS
In recent years, deep neural networks (DNNs) have witnessed a booming of artificial intelligence Internet of Things applications with stringent demands across high accuracy and low latency. A widely adopted solution is to process such computation-int