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2020 | OriginalPaper | Buchkapitel

An Entropy-Based Technique for Conferences Ranking

verfasst von : Fiaz Majeed, Rana Azhar Ul Haq

Erschienen in: Data Management, Analytics and Innovation

Verlag: Springer Singapore

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Abstract

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.

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Metadaten
Titel
An Entropy-Based Technique for Conferences Ranking
verfasst von
Fiaz Majeed
Rana Azhar Ul Haq
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-32-9949-8_17

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