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

• Published in: 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) pp. 463 - 467
• Main Authors: Chowdhury, Golam Rahman, Al Abid, Faisal Bin, Abdur Rahman, Md, Muhammad Masum, Abdul Kadar, Hassan, Mohammad Mahadi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2018
• Subjects: Analytic hierarchy process; analytic network process; decision making; factor; Linear regression; Machine learning; Machine learning algorithms; MCDM; mean absolute error; multi-criteria; Organizations; Prediction algorithms; sub-factor; Technological innovation
• DOI: 10.1109/ICISET.2018.8745590

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.