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

Lijuan Liu | Zendy; Zhai Changliang | Zendy

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

Author(s) -

Lijuan Liu,

Zhai Changliang

Publication year - 2017

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v10n3p54

Subject(s) - computer science , apriori algorithm , association rule learning , ideal (ethics) , affect (linguistics) , object (grammar) , association (psychology) , a priori and a posteriori , warning system , research object , data science , data mining , knowledge management , artificial intelligence , business , law , political science , psychology , telecommunications , business administration , philosophy , communication , epistemology , psychotherapist

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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