Data Mining, Business Intelligence, Grid and Utility Computing: A Bibliometric Review of the Literature from 2015 to 2020

Ernani Damasceno, Ernani Damasceno, Ernani Damasceno, Ana Azevedo, Manuel Pérez-Cota

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 subjects, 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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Paper Citation


in Harvard Style

Damasceno E., Azevedo A. and Pérez-Cota M. (2021). Data Mining, Business Intelligence, Grid and Utility Computing: A Bibliometric Review of the Literature from 2015 to 2020. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 367-373. DOI: 10.5220/0010527303670373


in Bibtex Style

@conference{iceis21,
author={Ernani Damasceno and Ana Azevedo and Manuel Pérez-Cota},
title={Data Mining, Business Intelligence, Grid and Utility Computing: A Bibliometric Review of the Literature from 2015 to 2020},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={367-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010527303670373},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Data Mining, Business Intelligence, Grid and Utility Computing: A Bibliometric Review of the Literature from 2015 to 2020
SN - 978-989-758-509-8
AU - Damasceno E.
AU - Azevedo A.
AU - Pérez-Cota M.
PY - 2021
SP - 367
EP - 373
DO - 10.5220/0010527303670373