Journal of Data Science, Statistics, and Visualisation 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.
JDSSV is currently indexed by DBLP and Google Scholar. And it is currently pending on Scopus.
- Visualizing directional dependence on cylinders and tori
by Aurélien Nicosia on 1 October, 2026Directional data arise in many scientific settings where observations are measured on a repeating angular scale. Existing circular plots and joint density […]
- Support vector machine-based visualization for a multi-instance defect classification methodology in the dissimilarity spaceby Eduardo Villegas-Jaramillo, Jorge E. Hurtado, Mauricio Orozco-Alzate on 7 September, 2026
Automated visual inspection (AVI) systems for defect classification on the surface of objects involve sensing, preprocessing, representation, classification […]
- 5x3: A practical approach to encouraging thoughtful statistical analysesby Janet Aisbett, Eric Drinkwater, Ken Quarrie, Stephen Woodcock on 31 August, 2026
Empirical researchers who draw conclusions from statistical hypothesis tests have long been urged to be more thoughtful about their statistical designs, and to […]
- StatLLaMA: Multi-stage training for domain-optimized statistical large language modelsby Jing-Yi Zeng, Guan-Hua Huang on 9 June, 2026
This study investigates how to efficiently build a domain-specialized large language model (LLM) for statistics using the lightweight LLaMA-3.2-3B family as […]
- What is text doing in a data visualisation?by Paul Murrell on 6 May, 2026
This article discusses the role that text elements play in a data visualisation. Based on existing knowledge and frameworks for data visualization, we develop […]
- Plotting correlated databy Lukas Koch on 28 April, 2026
A very common task in data visualization is to plot many data points with some measured y-value as a function of fixed x-values. Uncertainties on the y-values […]
Users Today : 540
Users Yesterday : 1435
This Month : 11600
This Year : 253170
Total Users : 314052
Views Today : 1496
Total views : 786995
Who's Online : 7