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.

Announcements

Call for Papers for JDSSV Special Issue on Statistical Learning, Visual Analytics, and Beyond

2022-07-08

Following the successful DSSV conference in Tainan, June 27-29, 2022, the Journal of Data Science, Statistics and Visualization launches a special issue on Statistical Learning, Visual Analytics, and Beyond with guest editors Ray-Bing Chen (Department of Statistics, National Cheng Kung University), Ying Chen, and Anne Ruiz-Gazen (Toulouse School of Economics, University Toulouse 1 Capitole) as guest editors. We welcome novel contributions from all aspects of research, including theoretical and practical modeling, learning, and/or visualization of data, providing insights into the development and application of the field.

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This international refereed journal creates a forum to present recent progress and ideas in the different disciplines of data science, statistics, and visualisation. It welcomes contributions to data science, statistics, and visualisation, in particular, those aspects which link and integrate these subject areas. Articles should be oriented towards a wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalisation of data, visual analytics, big data infrastructures and analytics, interactive learning, and advanced computing. Papers that discuss two or more research areas of the journal are favoured. Scientific contributions should be of a high standard. The journal explicitly welcomes contributions that include software with the aim of reproducibility of the results and application of the proposed methodology to other data by the reader. It is expected that data used in a paper are provided. JDSSV is an open access journal that charges no author fees.