Prediction of Upcoming Conferences Ranking in Bangladesh based on Analytic Network Process and Machine Learning

Golam Rahman Chowdhury, Faisal Bin Al Abid, Md. Abdur Rahman, Abdul Kadar Muhammad Masum, Mohammad Mahadi Hassan
{"title":"Prediction of Upcoming Conferences Ranking in Bangladesh based on Analytic Network Process and Machine Learning","authors":"Golam Rahman Chowdhury, Faisal Bin Al Abid, Md. Abdur Rahman, Abdul Kadar Muhammad Masum, Mohammad Mahadi Hassan","doi":"10.1109/ICISET.2018.8745590","DOIUrl":null,"url":null,"abstract":"The main objective of an academic conference is the participant's scope of submitting research papers. Different types of academic institutions and organizations arrange many academic conferences annually. It is virtually impossible for academics to attend all the conferences. Consequently, selection of the best conference is of utmost importance for academics. Selection of best conference paper was dependent on significant factors such as: conference location, registration fee, conference language, subject of the conference and submission deadline. In this research paper, Analytic Network Process (ANP) was used to accurately rank ten significant academic conferences based on the specific criteria mentioned above. Machine Learning (ML) algorithm have been used to rank upcoming conferences. The upcoming conferences will be considered based on the condition that the machine learning scores should be more than 80%. Multiple linear regression machine learning algorithm was used to find out the best upcoming academic conference.","PeriodicalId":6608,"journal":{"name":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","volume":"1 1","pages":"463-467"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISET.2018.8745590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The main objective of an academic conference is the participant's scope of submitting research papers. Different types of academic institutions and organizations arrange many academic conferences annually. It is virtually impossible for academics to attend all the conferences. Consequently, selection of the best conference is of utmost importance for academics. Selection of best conference paper was dependent on significant factors such as: conference location, registration fee, conference language, subject of the conference and submission deadline. In this research paper, Analytic Network Process (ANP) was used to accurately rank ten significant academic conferences based on the specific criteria mentioned above. Machine Learning (ML) algorithm have been used to rank upcoming conferences. The upcoming conferences will be considered based on the condition that the machine learning scores should be more than 80%. Multiple linear regression machine learning algorithm was used to find out the best upcoming academic conference.
基于分析网络过程和机器学习的孟加拉国会议排名预测
学术会议的主要目标是参与者提交研究论文的范围。不同类型的学术机构和组织每年安排许多学术会议。学者们几乎不可能参加所有的会议。因此,选择最好的会议对学术界来说是至关重要的。最佳会议论文的选择取决于以下重要因素:会议地点、注册费、会议语言、会议主题和提交截止日期。在本文中,基于上述具体标准,采用分析网络过程(ANP)对十大重要学术会议进行了准确排名。机器学习(ML)算法已被用于对即将举行的会议进行排名。即将召开的会议将以机器学习分数超过80%为条件进行考虑。使用多元线性回归机器学习算法来寻找即将到来的最佳学术会议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信