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Application Research Of Data Mining Technology In Employment Guidance In A Higher Vocational School

Posted on:2019-03-03Degree:MasterType:Thesis
Country:ChinaCandidate:J WuFull Text:PDF
GTID:2357330545490621Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the development and popularization of information technology,increasingly,many universities have established the information means to manage the college graduates employment information.Large amount of graduates information data and increasing year by year multifarious information,constitute a large graduate employment information data warehouse.On graduates in data warehouse,data management,the use of modern data mining techniques,not only can be carried out on the historical data query and statistics,but also can predict the potential relationship between data,find out the characteristics associated with employment,is very meaningful to our study,the further do a good job in the employment guidance of college students work also appears especially important.This article first expounds the data mining techniques and algorithms of decision tree,and then discusses the data mining technology is how to in a higher vocational college graduates employment guidance system in the implementation and application of data mining.From for some higher vocational college graduates employment guidance decision-making based on this purpose,through to the graduates,enrollment and employment direction,sign up,half a year work change situation of data mining such as content,build a decision tree model of the part of the factors influencing the employment.Using C4.5 algorithm in data mining techniques to predict the model of decision tree classification analysis,mining model established graduate employment system,and find out useful information hidden in the employment data.In the data processing of the application system,using the bayesian network algorithm in the data mining technology to implement a one-time fill multi-dimensional vacant properties.By observing the output results of the graduates employment data mining system can discover and find out the influence of college graduates employment rate and employment information,sorting and analyzing this information,after effectively associated extract valuable information,you can for the school of education goal,the direction of education,the education method of the cultivation of the localization and the mechanism to improve;Also can let students clear the direction of study and practice;At the same time can also help the university more targeted employment guidance for graduates,so as to more effectively help students employment and increase the employment rate and employment levels.
Keywords/Search Tags:Data mining, decision tree, C4.5 algorithm, bayesian network algorithm
PDF Full Text Request
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