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.
Precision estimates of parallel distributed association networks: evidence for domain specialization and implications for evolution and development