Application of Internet of Things Data Analysis in Innovation and Entrepreneurship
- 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.
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 -