The Influence of Ideological and Political Education on Employment Quality of College Students based on Association Rule Analysis

Author:

Zhang Ying

Abstract

Abstract A large number of employment data of college graduates are stored in the database. It is necessary to mine a large number of unknown and useful information hidden in these employment data. This paper aims to analyze the impact of Ideological and political education on the quality of employment by using association rules. Firstly, this paper studies the calculation formula of association rules. Firstly, the concept of association rules is described. Secondly, the association rules of employment data are analyzed and designed. Secondly, the employment data of college students and the learning data of Ideological and political education of college students are mined. Finally, the employment data is analyzed and studied in detail by using software. The experimental results show that the credits of Ideological and political education are in the range of [3,4]. 38.69% of the graduates whose achievements in Ideological and political education are within the range of [3,4] belong to class II. Among the graduates whose score of Ideological and political education in 2019 is [1,2], 35.29% are not satisfied with their current situation, that is to say, their confidence in the rules is 0.3529%. It can be seen that the credit system of Ideological and political education of college students has affected the employment quality of graduates after half a year to some extent.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference17 articles.

1. GIAMS: A generic approach for mining indirect association rules in data streams1 [J];Lin;Intelligent Data Analysis,2017

2. Analyzing Network Intrusion Behavior of Packet Capture Using Association Rules Technique: An Initial Framework [J];Zabri;Journal of Computational and Theoretical Nanoscience,2018

3. ARNetMiT R Package: Association rules based gene co-expression networks of miRNA targets [J];Özgür Cingiz;Cellular and molecular biology (Noisy-le-Grand, France),2017

4. Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks;Mohanty,2020

5. Mining and prioritization of association rules for big data: multi-criteria decision analysis approach [J];Addi;Journal of Big Data,2017

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