Paper
21 July 2023 Research on data mining technology based on cloud computing
Hang Cheng, JianQiao Sheng, Liang Zhang, Min Zhang, Yong Li, Yong Zhang, Bing Jiang
Author Affiliations +
Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127171Q (2023) https://doi.org/10.1117/12.2685328
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China
Abstract
IoT data mining is an important link in IoT technology. Traditional data mining can no longer meet the requirements of IoT technology, and the emergence of cloud computing, with its powerful computing power and ability to store large-scale data, has provided a new direction for IoT data mining. In such a context, a cloud based IoT data mining technology has emerged, which has attracted wide attention worldwide. In this paper, we study the K-means algorithm in data mining to solve the problems of K-means algorithm such as unstable clustering and inability to handle large-scale IoT data. This paper mainly. The experiments show that the clustering effect of ALCDK-means algorithm is significantly improved, and the accuracy rate is greatly improved compared with K-means algorithm. Finally, the shortcomings of ALCDK-means algorithm, such as the inability to effectively handle large-scale data sets, are addressed by parallelizing the algorithm based on the Hadoop platform to solve the problem that traditional data mining cannot handle large-scale data. The experimental results show that the parallelization of ALCDK-means algorithm solves the problems of traditional data mining such as long time consuming and inefficient to a certain extent, which in turn is beneficial for large-scale data mining.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hang Cheng, JianQiao Sheng, Liang Zhang, Min Zhang, Yong Li, Yong Zhang, and Bing Jiang "Research on data mining technology based on cloud computing", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127171Q (21 July 2023); https://doi.org/10.1117/12.2685328
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data mining

Information security

Evolutionary algorithms

Data storage

Algorithm development

Cloud computing

Data processing

Back to Top