| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 03061 | |
| Number of page(s) | 5 | |
| Section | Environmental Monitoring Repair and Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202125703061 | |
| Published online | 12 May 2021 | |
Research on Modularization and Association of Elderly Care Services in Big Data Environment
school of economics and management, Inner Mongolia normal University, Hohhot 010022, China
At this stage, China is in the stage of building a well-off society in an all-round way, and the application of big data has positive significance for the grasp of China’s national conditions and the laws of scientific development. At the same time, big data applications can also provide support for the development of the elderly care service industry. This article summarizes the modular content of elderly care services based on previous work experience. The author discusses the data association analysis of distributed elderly care services in a big data environment from four aspects: the construction of distributed association classifiers, the incremental mining of association classifiers based on constraints, the running process of the distributed association classifier model, and the evaluation of actual elderly care services.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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