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Vast spread of computing technologies has led to abundance of large data sets. Today tech companies like, Google, Facebook, Twitter and Amazon handle big data sets and log terabytes, if not petabytes, of data per day. Thus, there is a need to find similarities and define groupings among the elements of these big data sets. One of the ways to find these similarities is data clustering. Currently, there...
In paper text summarization represented as a sentence scoring and selection process. The process is modeled as a multi-objective optimization problem. The proposed model attempts to find balance between coverage and redundancy in a summary. For solving the optimization problem a human learning optimization algorithm is utilized.
This paper proposes a new version of impact factor. The proposed version penalizes JCR IF by journal self-citations. The penalized IF was experimented on 26 journals from Thomson Scientific JCR for 2013 and compared with the JCR IF. For these journals rank correlation between penalized IF and JCR IF is equal to 0.63.
The paper is dedicated to science citation index development problems in Azerbaijan. Existing international evaluation systems in this field are analyzed. It has been demonstrated that, within the framework of electronic-science project carried out in the country, formation of national scientific information resources and science citation index carries vast importance. Solution of the problem will...
Conceptual challenges of science citation index development in Azerbaijan are considered. Processing principals of database of scientific publications and analytical-information system based on it are explained. It is demonstrated that, requirements set for scientific journals and publications, unified register of scientific publications, development of analytical-scientometric evaluation mechanisms...
This paper proposed the generic summarization method that extracts the most relevance sentences from the source document to form a summary. This method is based on clustering of sentences. The specificity of this approach is that the generated summary can contain the main contents of different topics as many as possible and reduce its redundancy at the same time. The clustering method satisfies as...
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