“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 verbalization 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.
2023-03-14
Gregory Hunt, Johann Gagnon-Bartsch
2022-11-28
Shih-Hsiung Chou, Philip Turk, Marc Kowalkowski, James Kearns, Jason Roberge, Jennifer Priem, Yhenneko Taylor, Ryan Burns, Pooja Palmer, Andrew McWilliams
2022-11-28
Inger Fabris-Rotelli, Jenny Holloway, Zaid Kimmie, Sally Archibald, Pravesh Debba, Raeesa Manjoo-Docrat, Alize le Roux, Nontembeko Dudeni-Tlhone, Charl Janse van Rensburg, Renate Thiede, Nada Abdelatif, Sibusisiwe Makhanya, Arminn Potgieter
2022-11-28
David Suda, Monique Borg Inguanez, Gianluca Ursino
2022-10-06
Juan Domingo Gonzalez, Ricardo A. Maronna, Victor J. Yohai, Ruben H. Zamar
2022-09-07
Takanori Fujiwara, Jian Zhao, Francine Chen, Yaoliang Yu, Kwan-Liu Ma
2022-08-08
Aaron Defazio, Mark Tygert, Rachel Ward, Jure Zbontar
No announcements