Mining and Analyzing Behavior Patterns of Smart Home Users Based on Cloud Computing

Abstract

Aiming at the problem of poor robustness of traditional user behavior pattern mining analysis method, a cloud computing-based intelligent home user behavior pattern mining analysis method is designed. Intelligent household IoT from using cloud computing method and data mining the user behavior patterns, establish a two-layer neural network level of data is divided into 2 kinds, the user behavior mode by setting the input weight vector calculation after classifying data correlation between user behavior model, using Apriori algorithm, input minimum support and minimum confidence, on the basis of analyzing the correlation between data, and establish the user behavior mode decision tree, on the basis of complete analysis of cloud computing smart home user behavior patterns mining method design. Through the comparison experiment with the traditional method, it is concluded that the designed mining analysis method based on cloud computing has higher robustness, the proposed cloud computing-based intelligent home user behavior pattern mining method has good application space.