期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2240
页码：156-160
出版社：Newswood and International Association of Engineers
摘要：This paper proposed a unified ranking system for
classification of scientific content. A list of parameters for
unified ranking of scientific content (journals) is prepared first.
A few quality indicators for evaluating the quality of journals
are taken from existing parameters which are in use. These
indicators include eigen factor, audience factor, impact factor,
article influence, and citations. We also proposed one new
metric, prestige of journal (PoJ) for the evaluation of journals.
The values of different journals for the proposed indicators
including the newer one is stored in an integrated database. A
popular data mining technique for unsupervised classification
named K Means clustering is applied to group the journals in
different clusters. Clustering is an unsupervised classification
technique in which the un-clustered classes do not bear any
label. The clusters are labeled to find the exact rank of a
science journal by using a state of the art technique of labeling
clusters developed by the author of this paper. The
experimental design of the paper is done and the parameters to
evaluate the experiment are finalized. The results obtained
from different experiments are in process yet and will be
published in the extended version of this paper.
