Design Research Of Vocational Decision System Using Association Rules Based On Full Newton Steps

Association rule data mining technology is an important hot issues,has long been widespread concern of many scholars and made great progress.Association rule mining from a variety of transaction database can be found in many decisions to help develop research on association rule mining,in particular to improve the efficiency of association rule mining,has become an important research direction in the field of data mining.In this paper,the basis of data sharing platform for functional analysis centers on the use of J2 EE technology platform,MYECLIPSE as a development tool,ORACLE relational database management system,data center design and development platform for university-based association rules.The article reads as follows:Firstly,the issue succinctly describes the background and significance,a detailed analysis of the data mining association rules and abroad study and application of technology.Describes the process of data mining methods and methods of data mining theoretical knowledge and related technology and analysis.Focus on the analysis of traditional classical association rule algorithms,simulated annealing algorithm,neural network algorithm in data mining association rules,such as research and application management aspects of the field.Secondly,learn the full Newton step for solving linear programming problems fast convergence,proposed mining association rules based on full-Newton step data algorithms,association rules to reduce the number of iterations in the generation process and improve the efficiency of data mining,and from both theoretical and applied simulation the efficiency of the optimization algorithm feasibility aspects verification.Thirdly,the analysis center platform data sharing business functions,using SOA technology architecture,flexible workflow engine technology and Web Services unified data exchange technology,the detailed design of ETL center platform data sharing and data mining are two key technologies.Focus describe data ETL process design and control process design,ETL from functionally classified as service modules,function modules,control modules three levels,seamlessly between levels to jobs and into the drive to achieve the conversion of data extraction and loading,data extraction process to ensure efficiency and data consistency.Based on full-Newton step using association rule mining algorithm,combined with teacher assessment teaching hospital for data mining analysis,the use of expert knowledge and reasoning mechanism,establish policy analysis model library and information research method library,the theme for the college to provide comprehensive management decisions,multi-level decision support and knowledge services.Finally,using JAVA technology center platform data sharing applications,and in accordance with the requirements of software testing standards,test environment,the system is rigorous tests conducted rigorous testing from the system performance,system functions,etc.to ensure the integrity of the system.