Authors:
Ernani Damasceno
1
;
2
;
3
;
Ana Azevedo
1
and
Manuel Pérez-Cota
3
Affiliations:
1
CEOS.PP, ISCAP, Polytechnic of Porto, Porto, Portugal
;
2
Department of Computing, Federal Institute of Triangulo Mineiro, Campus Paracatu, Brazil
;
3
Higher School of Computer Science, Vigo University, Vigo, Spain
Keyword(s):
Bibliometric Review, Data Mining, Business Intelligence, Grid and Utility Computing, Systematic Review, Essential Science Indicators.
Abstract:
Bibliometric review is a type of systematic review used to analyze a wide range of articles or scientific publications using statistical tools to identify trends in many articles. However, there are some areas of study that are more consolidated with a wide range of studies, such as Data Mining (DM) and Business Intelligence (BI). New tools are being researched to provide a more effective way of using technologies in organizations, namely, Grid Computing (GC) and Utility Computing (UC). Thus, this article aims at showing analysis of publications databases in order to verify whether there are studies on DM and BI together with GC and UC from 2015 to 2020. The purpose is to demonstrate not only the quantity but also some aspects, such as relations between topics, number of publications per year, main countries and institutions, research network and H5 index from Google Scholar. Finally, the results are shown through the number of publications, percentages, and the most relevant subject
s, based on Essential Science Indicators based on Essential Science Indicators, which determine the influences of countries, institutes, and authors in a specific field of study.
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