An Intelligent Mining Method of Distributed Data Based on Multi-agent Technology

An Intelligent Mining Method of Distributed Data Based on Multi-agent Technology

연구 분야: Databases

학회: International Conference on Multimedia Technology and Enhanced Learning

In order to solve the above problems, a new distributed data intelligent mining method based on Multi-Agent technology is studied. Collect distributed data, complete data storage through compression, archiving and storage, use real-time data monitoring architecture to determine data status, implement information collection through data analysis and extraction, input data to filter corresponding parameters, build energy consumption statistical reports to improve report functions, establish mining models, determine historical data, and analyze historical data. Analyze the trend of data energy consumption, and realize digital information analysis according to the change probability of data energy consumption. According to the essential characteristics, application-related characteristics, performance characteristics and acquisition characteristics of the equipment, realize data preprocessing, use mapping processing to complete the missing trapping, extract the main information, and project the data to the 1-dimensional to 3-dimensional space to obtain the initial model. The model mines key factors, selects random variables, analyzes the distribution mode of the network structure, realizes parameter independence, establishes a relational model, and obtains the mining results. The experimental results show that the distributed data intelligent mining method based on Multi-Agent technology can effectively shorten the mining time, and the accuracy rate of mining results is as high as 90%, which can provide good theoretical support.