Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)

Application of Internet of Things Data Analysis in Innovation and Entrepreneurship

Authors
Feng wang16121461@qq.com
HubeiCollege of Chinese Medicine, 434020, China
Corresponding Author
Available Online 2 June 2022.
DOI
10.2991/ahis.k.220601.062How to use a DOI?
Keywords
Data mining; classification; decision tree; C4.5 algorithm; college students’ job search
Abstract

In order to deeply analyze the key factors and their potential interaction that affect the Job-hunting of college students in Yingjia, the author makes extensive statistics on the decision-making factors of the graduates of Nanjing Institute of information technology in recent years, such as recommending employment, choosing a job independently, starting a business independently or entering a higher school, waiting for a job and so on, and designs C4 with the support of data mining classification technology. 5 algorithm systematically analyzes various potential factors that affect the employment choice of graduates, so as to obtain the decision-making model that affects the employment rate of fresh graduates. The main significance of this study is that students can improve their knowledge structure and enhance their comprehensive quality and social competitiveness. In order to adapt to the increasingly severe employment situation and the needs of economic and social development, improve the success rate of employment contract. Fresh graduates can also refer to the algorithm model to compare their own quality, targeted selection of target units for career. Colleges and universities can make a vertical and horizontal comparative analysis of the employment index of graduates from all walks of life according to the algorithm model, and improve the teaching plan to make the graduates more in line with the needs of contemporary society and stimulate the rapid growth of employment rate

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 June 2022
ISBN
978-94-6239-581-7
ISSN
2589-4919
DOI
10.2991/ahis.k.220601.062How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Feng wang
PY  - 2022
DA  - 2022/06/02
TI  - Application of Internet of Things Data Analysis in Innovation and Entrepreneurship
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 333
EP  - 338
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.062
DO  - 10.2991/ahis.k.220601.062
ID  - wang2022
ER  -