Journal of Data Science,
Statistics, and Visualisation

“We welcome contributions to data science, statistics, and visualisation, and in particular those aspects which link and integrate these subject areas.”

About the Journal

The journal welcomes contributions to practical aspects of data science, statistics and visualisation, and in particular those which are linking and integrating these subject areas. Papers should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalisation of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes. JDSSV is an open access journal that charges no author fees. The journal now has a new review process aimed at reducing the turnaround time between initial submission and publication of accepted papers to three months.

2024-09-18
Alessandro Albano, Irene carola Spera, Mariangela Sciandra, Antonella Plaia
2024-08-12
Giulia Marchello, Alexandre Destere, Marco Corneli, Charles Bouveyron
2024-06-04
Dennis Dingen, Marcel van 't Veer, Tom Bakkes, Erik Korsten, Arthur Bouwman, Jarke J. van Wijk
2024-06-04
Jean-Pierre Stander, Inger Fabris-Rotelli, Theodor Loots, Johan van Niekerk, Alfred Stein
2024-06-04
Claudia Cappello, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen
2024-06-04
Yin Li, Weng Kee Wong, Hua Zhou, Keumhee Chough Carriere
2024-03-20
Ying Chen, Patrick Groenen, Kwan-Liu Ma, Stefan Van Aelst
Journal of Data Science,
Statistics, and Visualisation
Pages