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Association Rule Mining Algorithm In University Professional Construction-apriori Algorithm For The Defense Polytechnical Curriculum Reform

Posted on:2011-07-08Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhuFull Text:PDF
GTID:2208330332484273Subject:Computer technology
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With the development of sophisticated database technology and network technology, a large number of popular database technology in universities has been widely applied, many colleges and universities in the teaching management system has accumulated vast amounts of data. These data have formed about teaching a teaching information database. Professional development and in the university curriculum reform, the response to long-term accumulation of these universities for massive data analysis and mining, in order to find the school curriculum reform, professional guiding role in building the information, this knowledge can assist school administrators, decision-making, improve school overall strength, but also for schools to improve teaching quality, teaching resources to provide reliable data basis.Related rules to excavate a large amount of data can be found in the set of or related between interesting. in data mining is an important research subjects, in recent years has been extensively studied by the industry. since agrawal in 1993, first raised the problems associated rules, many researchers are related to rule out to excavate a large number of research and achieved excellent results. Their work includes the following main:to optimize the existing approach to enhance the efficiency of the algorithm to excavate the rules for the associated rules; the application of promotion.In this article introduces the basic principles apriori algorithms, on the basis of the algorithm made a detailed description of the combination defence and the industrial vocational technical college students of the results of the data from the data collection, data preprocessing wait several areas, based on'booleans transformation in a relational database properties for numeric cases, and programming for the pupils of grade data. Hope to be dig out the relevant knowledge and rules of the school curriculum reform and construction provides theories and support. This paper studies the following aspects:First:Carry on the thorough analysis to the paper research background and the significance, is clear about this graduation project the duty:In order to complete the Yunnan defense industry professional technology institute personnel training pattern from "2.5+0.5" to "2+1" the transformation, excavates between various curriculum the relations and various special course to the specialized skill support relations, excavates the relations instruct us to establish the curriculum, the adjustment curriculum order reasonably, completes the specialized skill by the few class hour quantity the raise, enhances the professional credentials gain rate.Second:in the Apriori, SETM affairs database typical Boolean association rules based on the analysis of algorithms, to improve the algorithm, based on Boolean conversion on multi-dimensional relational database, the concept of multi-valued and multi-layer data mining.Third:The back-end database on SqlServer 2005, front-end tools to use Visual C# 2008 to complete, with Yunnan Vocational and Technical College part of the defense industry data mining student achievement, from which to dig out the relevant knowledge and rules.Fourth:To the knowledge which excavates conducts the research, will excavate between various curriculum incidence relation which will obtain to apply in my school part specialized curriculum reform, according to the specialized skill request, will dispose the curriculum reasonably, will adjust the curriculum order carefully, will match each resources effectively, will guarantee the personnel training specification by the few class hour quantity the realization, will enhance the professional credentials gain rate.
Keywords/Search Tags:Specialized construction, Curriculum reform, Data mining, Connection rule, Relational database
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