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Journal of Data and Information Science
Volume 6 (2021): Issue 1 (February 2021)
Volume 6 (2021): Issue 1 (Feb 2021)
Journal of Data and Information Science
Open Access
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9 articles
Open Access
|
Oct 2020
Abstract
Bilateral Co-authorship Indicators Based on Fractional Counting
Ronald Rousseau
and
Lin Zhang
Open Access
|
Dec 2020
Abstract
“My ADHD Hellbrain”: A Twitter Data Science Perspective on a Behavioural Disorder
Mike Thelwall
,
Meiko Makita
,
Amalia Mas-Bleda
and
Emma Stuart
Open Access
|
Sep 2020
Abstract
An Automatic Approach to Extending the Consumer Health Vocabulary
Michal Monselise
,
Jane Greenberg
,
Ou Stella Liang
,
Sonia Pascua
,
Heejun Kim
,
Mat Kelly
,
Joan P. Boone
and
Christopher C. Yang
Open Access
|
Oct 2020
Abstract
National Lists of Scholarly Publication Channels: An Overview and Recommendations for Their Construction and Maintenance
Janne Pölönen
,
Raf Guns
,
Emanuel Kulczycki
,
Gunnar Sivertsen
and
Tim C. E. Engels
Open Access
|
Nov 2020
Abstract
A Scientometric Approach to Analyze Scientific Development on Renewable Energy Sources
Jones Luís Schaefer
,
Julio Cezar Mairesse Siluk
,
Ismael Cristofer Baierle
and
Elpidio Oscar Benitez Nara
Open Access
|
Jan 2021
Abstract
Why Open Government Data? The Case of a Swedish Municipality
Koraljka Golub
and
Arwid Lund
Open Access
|
Jan 2021
Abstract
Government Data Openness and Coverage. How do They Affect Trust in European Countries?
Nicolás Gonzálvez-Gallego
and
Laura Nieto-Torrejón
Open Access
|
Dec 2020
Abstract
Using Network Embedding to Obtain a Richer and More Stable Network Layout for a Large Scale Bibliometric Network
Ting Chen
,
Guopeng Li
,
Qiping Deng
and
Xiaomei Wang
Open Access
|
Jan 2021
Abstract
A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data
Ulagapriya Krishnan
and
Pushpa Sangar
eISSN:
2543-683X
|
ISSN:
2096-157X
|
Language:
English
|
Publication frequency:
4 times per year
Published by:
Chinese Academy of Sciences, National Science Library
In partnership with:
Paradigm Publishing Services
Related subjects:
Computer sciences
,
Information technology
,
Project management
,
Databases and data mining
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