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Research On The Decision Tree Applied In The Employment Management Of Application Undergraduate Higher Education

Posted on:2012-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:A X HeFull Text:PDF
GTID:2218330338971004Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Along with the rapid development of information technology. people obtain data means and path more and more the kind turn, appeared a data scoop out, it withdraw to dig out from a great deal of data can not detection, hide but useful information and the process of knowledge. Connection analysis, classification, deviation analysis, gather a type analysis, cycle time mode and estimate etc. all of these is the main mission that the data scoop out. Now have a lot of method to used for data classification, among them in common use of main have decision tree, rough gather, k-most close by method, artificial nerve network, statistics model etc. method, but decision tree calculate way is classification calculate way in the most in general use of 1 kind, it have quicker of calculation speed, people easy comprehension, so drive extensive application in finance, medical treatment, insurance, conveyance, weather, national defense etc. realm, but at university graduate student employment aspect application less.China education reform at continuously of thorough with expansion, the university undergraduate course living to solicit students scale also at year by year extension, enrollment of significant increment, give the university graduate student of employment brought more and more big of pressure, especially the layer be lower of application type the employment of the undergraduate course college antinomy Be getting more outstanding, along with these present of new characteristics, the calculator be information-based management also at employment work of open an exhibition with perfect top display more and more importance of function, but usage data scoop out technique, then can find out employment medium of some latent regulation, for have never find out work or future seek work of the student provide some draw lessons from, also for university at employment management the aspect provide help! Under this background, the concept and development of data mining were introduced in detail in this paper, discusses the applied undergraduate studies the characteristics of the employment of college graduates data, on the basis of the principle of data mining. Specific research content as follows:1) The paper discusses data mining based on the general theory of data mining, introduces decision tree algorithm in detail. And simply introduces several common decision-making tree generation algorithms. This passage mainly introduces C4.5 algorithm process and its structure, and analyzes the advantages and disadvantages of C4.5 algorithm.2) On the base of Anhui Xinhua College graduation data, this passage emphatically discussed using C4.5 algorithm applied on undergraduate colleges establish the mining model, and employment to validate the model is correct and practical.The paper finally summarized and prospects for the development of the study on the basis of summing up the all passage, pointed out the influence of the decision attribute, so it can support college and university leaders in improving employment, improving employment levels and improve the training mechanism of now provide decision.
Keywords/Search Tags:data mining, the decision tree, C4.5 algorithm, applied undergraduate, employment
PDF Full Text Request
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