An Entropy Based Technique for Conferences Ranking
Ranking of conferences is carried out to guide the researchers so as to publish their work in top level venues. Existing works are needed to be improved in regard to accuracy. In this paper, we have proposed a ranking technique of conference papers named as influence language model (InLM) It uses entropy to calculate score for the purpose of ranking. It identifies level of the paper as well as level of the conference based on entropy score. Experiments have been performed on bigger dataset. The results reflect better position in comparison to the existing systems.
Data Management, Analytics and Innovation