Higher Vocational Colleges Based On SSH2the Employment Office Management Platform Design And Implementation

The employment of college students is an important component of informatizationconstruction in Colleges and universities, with the expansion of enrollment, the employment workin Colleges and universities from the depth to width have been profound changes, need to achieverapid interaction by using Internet technology, digital management of the graduate employment,effective docking at the same time and higher employment departments, the formation of studentemployment management system the. At present our province vocational colleges most basicwork to "artificial+single" approach, data collection, collation, retrieval,analysis and processingmethod is backward, the working efficiency is not high.In this paper, taking Hebei Engineering and Technical College as an example, based onanalyzing the employment management work in our province higher vocational colleges,therelated technology of JAVA platform, according to the specification of the softwaredevelopment process, finished the design, the employment office management platformdevelopment, at the same time, the application of data mining technology, exploratoryanalysis ofemployment information, influence factors find out the employment of University students.In the complete process of the system, the research work of this paper is as follows:1, analysis of the SSH2(Spring+Structs2+Hibernate) features of the framework and thedevelopment of technology, and based on this framework to complete the design andimplementation of employment management office platform.2, through the actual investigation, from the angle of the first user requirement andcharacteristics of employment in Higher Vocational Colleges in our province, such as recruitinginformation database production, employment base production, agreement renewaletc.. Theplatform to meet the actual demand, with a strong practical and universal.3, introducing data mining association rules theory method to analyze the employmentinformation, found that the effective knowledge. Based on the actual employment data2011-2013Hebei Engineering and Technical College graduates as the basis, using an optimizedformultidimensional association rules Apriori algorithm and programming, successfully completedthe analysis of output on the employment relationship between attributes, improve the ability ofassistant decision system.Running through the actual testing, this system can complete the current main business ofemployment process better, improve work efficiency, it adopts data mining technology canfullyunderstand the employment situation, strengthen employment channels construction and specialtyconstruction has played a positive role in helping college, to achieve the system target, practical and higher value of promotion.