Application of Commercial Data Mining Model in Cloud Technology
- DOI
- 10.2991/978-94-6463-042-8_46How to use a DOI?
- Keywords
- Cloud Technology; Data Analysis and Mining
- Abstract
In the new period of rapid network development, high and new technology is gradually applied to all walks of society, and cloud computing network technology gradually stands out. With the rapid development of science and technology,the development speed of cloud technology has become more and more rapid, and it is developing towards the direction of the cloud network of various computer software. In order to improve the clustering effect and quality of data, cloud technology is being actively used in both scientific research and commercial fields, and cloud technology is being integrated into the construction of data mining platform to improve its operation quality. This paper discusses the application of commercial data mining model based on SaaS and cloud technology. For the help of current cloudtechnology development for data mining technology, the purpose is to improve the work efficiency of commercial data mining model under cloud technology and provide complete data for the information age.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Junqiang You PY - 2022 DA - 2022/12/29 TI - Application of Commercial Data Mining Model in Cloud Technology BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 314 EP - 319 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_46 DO - 10.2991/978-94-6463-042-8_46 ID - You2022 ER -