Design and Implementation of Massive Information Management System Based on Big Data

Abstract

In order to improve the artificial intelligence of mass information management system and carry out the optimization design of mass information management system, a design method of mass information management system is proposed based on big data analysis and Web. The function module of the system includes computer aided management module, big data information processing module, program loading module, data classification module and data output module. The fuzzy clustering method is used to design big data's classification algorithm, and the association rule mining method is used to mine big data and integrate scheduling. The big data processing algorithm is used to load the control instructions through the program loading module, and the software development and design of the mass information management system is realized under the embedded Web environment. The simulation results show that the design of mass information management system has a good mining ability of big data and the intelligence of big data information management has been improved