Data Science Publication: Thirty-Six Years Lesson of Scientometric Review

被引：0

作者：

Purnomo, Agung ^{[1
]}

Rosyidah, Elsa ^{[2
]}

Firdaus, Mega ^{[3
]}

Asitah, Nur ^{[4
]}

Septianto, Andre ^{[5
]}

机构：

[1] Bina Nusantara Univ, BINUS Business Sch, Undergrad Program, Entrepreneurship Dept, Jakarta 11480, Indonesia

[2] Univ Nandlatul Ulama Sidoarjo, Environm Engn Dept, Sidoarjo, Indonesia

[3] Univ Nandlatul Ulama Sidoarjo, English Educ Dept, Sidoarjo, Indonesia

[4] Univ Nandlatul Ulama Sidoarjo, Primary Educ Dept, Sidoarjo, Indonesia

[5] Univ Nandlatul Ulama Sidoarjo, Chem Engn Dept, Sidoarjo, Indonesia

来源：

PROCEEDINGS OF 2020 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT AND TECHNOLOGY (ICIMTECH) | 2020年

关键词：

data science; publication mapping; scientometric; vosviewer;

D O I：

10.1109/icimtech50083.2020.9211192

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Data science as part of technological development is growing and needed. It has been research yet the notion about data science review publication which showed the big picture using data from all countries. This research aims to study the position of the international publication map of data science indexed by Scopus using scientometric review. Scientometric methods and analyzed research data was used to analyze search results service from Scopus and the VOSviewer application. The research data of 5,202 documents published from 1983 to 2019 were obtained from the Scopus database. Most countries, subject areas, and type documents in data science publications were the United States, computer science; and conference paper. There were ten collaborative researchers' group patterns. This research proposes a convergence axis classification consisting of data science publication to characterize the body of knowledge generated from three decades of publication: Machine learning, Organism, Data mining, and Data analysis, abbreviated as MODD themes.

引用

页码：893 / 898

页数：6

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