Design And Implementation Of Enterprise Employee Information System Based On Data Mining Technolog

With the continuous development of economic globalization,enterprise competition is becoming increasingly fierce.In order to adapt to the current living environment,many enterprises have continuously introduced information application systems to improve the management efficiency of enterprise departments and enhance their competitiveness.With this as the background,this article conducted a demand survey on the information application status of an enterprise.Through the survey,it was found that the employee information management system deployed by the enterprise had a single functional structure and low operating efficiency.With the continuous growth of enterprise employee data and information,the existing employee information management system can no longer meet the management needs of the enterprise,and there is an urgent need to design and develop a powerful and user-friendly enterprise employee information system.At present,the company’s original employee information system has been deployed and operated for many years,and has accumulated a large amount of historical data information.Based on the design and development of the employee information system,this article will apply data mining technology to mine and analyze these historical data information,find valuable related information,provide decision support for the management of the enterprise,and add these "waste" data Use it to "turn waste into treasure".The work of this article is as follows:First,optimize and improve the Apriori association rule algorithm.The research analyzes the advantages and disadvantages of the classic Apriori association rule algorithm,and proposes an optimization algorithm for reducing the scanning frequency of the database and avoiding the generation of redundant candidate sets.The paper also compares the performance of the classic Apriori algorithm and the optimized and improved Apriori algorithm.The results show that the optimized and improved Apriori algorithm in this paper can greatly improve the execution efficiency of the algorithm and lay the foundation for the later application of the algorithm.Second,the design and implementation of enterprise employee information system based on data mining technology.Aiming at the problems existing in the original enterprise employee information system,a demand survey and analysis of the current application situation of the enterprise system was carried out,and the system design was combined with the actual application of the enterprise.Finally,the data mining technology was implemented based on J2 EE,SQL Server,Visual Studio2013 and other technical platforms The enterprise employee information system meets the needs of enterprise informatization applications.Finally,the optimization algorithm is applied.The optimized and improved Apriori association rule algorithm in this paper is applied to the system’s data mining analysis function module,which enables the system to analyze employee-related data information and mine useful correlation information between data,which provides decision support for enterprise employee management and meets The management needs of the enterprise.