Open AccessResearch on Employment Prediction and Fine Guidance based on Decision Tree Algorithm under the Background of Big Data
Author(s) -
H. Y. Li,
Y. Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1601/3/032007
Subject(s) - timeline , big data , decision tree , computer science , tree (set theory) , service (business) , decision tree learning , basis (linear algebra) , machine learning , data mining , operations research , algorithm , artificial intelligence , mathematics , marketing , statistics , business , mathematical analysis , geometry
Refinement of college employment guidance is the demand of the current era. Big data thinking and technology have created the conditions for it. In this paper, the factors influencing college students’ employment are discussed and the method of applying decision tree algorithm to predict college students’ employment is studied. On this basis, the paper analyses the effective ways to improve the refinement of college employment guidance based on employment prediction, from the four aspects of improving the scientificity of decision-making, the pertinence of guidance, the accuracy of service, and the timelines of assistance.