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

机译:基于分析网络过程和机器学习的孟加拉国即将召开的会议排名预测

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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.
机译: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都会组织许多学术会议。学术界几乎不可能参加所有会议。因此,选择最佳会议对学者来说至关重要。最佳会议论文的选择取决于许多重要因素,例如: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,基于上述特定标准,使用分析网络过程(ANP)对十个重要的学术会议进行准确排名。机器学习(ML)算法已用于对即将召开的会议进行排名。即将召开的会议将基于机器学习分数应超过80%的条件进行考虑。多元线性回归机器学习算法被用来找出即将举行的最佳学术会议。

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