Research and Application of Data Mining in College Students' Employment Based on Association Rules

Liu Lijuan, Zhai Changliang

Abstract


This paper takes the employment information data of university graduates as the research object, and takes Apriori algorithm as the main idea, develops a data mining system for early warning of student employment information and new functions of teacher guidance and employment, finds out some factors that affect the employment situation, and realizes the early warning to the students who may not be able to obtain employment smoothly and the teachers who may not have an ideal employment rate. So that managers can obtain more valuable knowledge and information, better management, improve employment rate, and enhance the competitiveness of institutions of higher learning.


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DOI: https://doi.org/10.5539/cis.v10n3p54

Copyright (c) 2017 Liu Lijuan, Zhai Changliang

License URL: http://creativecommons.org/licenses/by/4.0

Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)  Email: cis@ccsenet.org


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