Housing Accumulation Fund Based On UniEAP Platform Research And Implementation Of Management System

In order to promote the construction and development of "Internet + housing accumulation fund" more effectively,the interactive and sharing advantages of the Internet can be used to support the operation process of information-based public accumulation fund service and improve the work efficiency.This paper discusses a housing accumulation fund management system based on UniEAP platform.The system adopts JDK+UniEAP+Tomcat+Oracle development environment,uses CSS,Spring,Struts and other Java EE architecture,and makes use of divergent design pattern thinking of software engineering for development.The system mainly includes three basic modules: unit account management,individual account management,payment and deposit base adjustment management,and uses association rule mining algorithm to assist all departments to make decisions on collecting public accumulation fund,bank deposit investment and planning commodity housing construction.The system uses Oracle database to realize the data control of physical structure,logical structure,memory allocation and background process.Without the need for an administrative database,files can support enhanced data types,automatic reserve management and optimization of data configuration,as well as automatic instance tuning and automatic statistical collection.Archiving,logically backed up data,and transportable table Spaces all have recoverable operations.At the same time,in order to solve the problems of long average transaction length and low mining efficiency in the data mining database of housing provident fund system,the system adopts FP-tree algorithm for ascending mining,and frequent items are taken as Shared data.In addition,FP-growth algorithm is used in the housing accumulation fund system to complete the calculation of frequent item sets in the housing accumulation fund data mining database.The system through a comprehensive inspection,system functional test,currently in my unit range of test use,but because of the research conditions and the system data volume is not enough restrictions,the system is still facing many bugs need to be debugged.