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Research And Application Of Improved Apriori Algorithm In The Employment Of Students In Vocational Colleges

Posted on:2014-11-21Degree:MasterType:Thesis
Country:ChinaCandidate:J J LiFull Text:PDF
GTID:2298330434450968Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Data mining in late twentieth Century began as the world economy massive data resources and the demand for data and obtained the rapid development, need to existing data resources through the analysis and mining of deeply into what people need information and resources, in data mining, with its development one application it is very important to the association rule algorithm of data mining, and people on the improvement and applications continue to satisfy people’s needs of data.Algorithm and improved correlation based on data mining, analysis of vocational college students employment related data, mining association between student employment data in order to serve for the employment of Higher Vocational College students. The thesis first analyzes the data mining technology, introduces two algorithms of association rules, and focus on the implementation of Apriori algorithm. Then analyzes the shortcomings of traditional Apriori algorithm in the higher vocational college students employment data analysis and applications, especially the calculation of candidate frequent item sets the time cost is too large, so the traditional Apriori algorithm in attribute selection methods of data pretreatment, which can obviously improve the readability of the algorithm, the old and the new the algorithm is presented to demonstrate the algorithm is further improved in terms of time efficiency. Finally, the improved Apriori algorithm is applied to the system of student employment, the algorithm for the analysis of factors that affect the employment of different professionals in different year students, it prove that Apriori algorithm in solving the vocational college students employment problem is feasible and effective.The Apriori algorithm is improved and applied in the vocational college employment data, analysis of employment of students and students, family relationship, analysis of the formation rules for higher vocational colleges employment for higher vocational colleges, employment services, has great application value.
Keywords/Search Tags:data mining, association rules, employment, support, confidence
PDF Full Text Request
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