{"title":"学生就业机会预测研究综述","authors":"Liya Joy, A. Raj","doi":"10.1109/ICACCS.2019.8728505","DOIUrl":null,"url":null,"abstract":"All students dream to obtain a job offer in their hands before they leave their college. A placement chance predictor helps students to have an idea about where they stand and what to be done to obtain a good placement. A placement predictor is a system that could predict the possibility or the type of company a pre-final year student have chances to be placed. Thus a prediction system could help in the academic planning of an institution for future years. With the emergence of data mining and machine learning, many predictor models were introduced by analyzing the previous year student’s dataset. This paper presents a literature survey on different placement prediction models for pre-final year engineering graduate students.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Review on Student Placement Chance Prediction\",\"authors\":\"Liya Joy, A. Raj\",\"doi\":\"10.1109/ICACCS.2019.8728505\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"All students dream to obtain a job offer in their hands before they leave their college. A placement chance predictor helps students to have an idea about where they stand and what to be done to obtain a good placement. A placement predictor is a system that could predict the possibility or the type of company a pre-final year student have chances to be placed. Thus a prediction system could help in the academic planning of an institution for future years. With the emergence of data mining and machine learning, many predictor models were introduced by analyzing the previous year student’s dataset. This paper presents a literature survey on different placement prediction models for pre-final year engineering graduate students.\",\"PeriodicalId\":249139,\"journal\":{\"name\":\"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)\",\"volume\":\"141 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACCS.2019.8728505\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2019.8728505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

所有的学生都梦想在离开大学之前得到一份工作。安置机会预测器可以帮助学生了解他们所处的位置,以及如何获得一个好的安置。“就业预测器”是一种系统,可以预测高三学生有机会被安排工作的可能性或公司类型。因此,预测系统可以帮助一个机构在未来几年的学术规划。随着数据挖掘和机器学习的出现,通过分析上一年度学生的数据集引入了许多预测模型。本文对不同的工程研究生毕业前就业预测模型进行了文献综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Review on Student Placement Chance Prediction
All students dream to obtain a job offer in their hands before they leave their college. A placement chance predictor helps students to have an idea about where they stand and what to be done to obtain a good placement. A placement predictor is a system that could predict the possibility or the type of company a pre-final year student have chances to be placed. Thus a prediction system could help in the academic planning of an institution for future years. With the emergence of data mining and machine learning, many predictor models were introduced by analyzing the previous year student’s dataset. This paper presents a literature survey on different placement prediction models for pre-final year engineering graduate students.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Object Detection and Tracking Approaches for Video Surveillance Over Camera Network A Systematic Literature Review for Early Detection of Type II Diabetes Agricultural Field Monitoring using IoT A Methodical Overview on Phishing Detection along with an Organized Way to Construct an Anti-Phishing Framework Mobile Edge Communication An overview of MEC in 5G
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1