Application of Data Mining Technology in Pet Wearable Device Data

Abstract

In the field of smart wearable devices, data analysis of pet wearable devices has always been a research hotspot. Online monitoring technology cannot solve the problem of data mining in pet wearable devices, and the ability of data mining is poor. Therefore, this paper proposes a mining algorithm for pet wearable devices and constructs a data mining model for pet wearable devices. Firstly, the big data theory is used to classify the data of pet wearable devices, and the data is divided according to the device type to which the data belongs, so as to reduce the complexity of the data in pet wearable devices. Then, the big data theory classifies pet wearable devices, forms the data domain of pet wearable devices, and comprehensively analyzes the data. MATLAB simulation results show that data mining technology is superior to online monitoring technology in accuracy, stability and calculation time under a certain amount of pet wearable equipment data. Under the condition of clear data processing standards, data mining technology can comprehensively analyze pet wearable devices and meet the data mining requirements of pet wearable devices.