BigVis 2021 will devote a session to machine learning approaches in the context of Big data visualization and analytics.
Additionally, in the context of visual exploration and analytics, topics of interest include, but are not limited to:
BigVis 2021 invites submissions of novel research, completed or in-progress work, vision, and system papers. The page limit for regular and short research papers is 8 and 4 pages, respectively. Additionally, we welcome submission of work-in-progress as short paper of up to 4 pages long. Papers of this type describe an ongoing work that has not yet reached the maturity required for a research paper. Further, we solicit vision papers (up to 4 pages) that describe a vision for the future of the field of visual exploration and analytics. Finally, we accept system papers and demos up to 4 pages long.
Papers must be original and not submitted or accepted for publication in any other workshop, conference or journal.
Papers should be submitted electronically as PDF documents and be formatted according to the ACM Proceedings Format (Latex, MS Word). Submissions will be accepted only through the submission site EasyChair at www.easychair.org/conferences/?conf=bigvis2021. All workshop papers will be indexed by DBLP and will be published online at CEUR (http://ceur-ws.org).
January 24 (AoE)
Notification: February 16, 2021
Camera-ready: February 25, 2021
Workshop: March 23, 2021
Authors of selected papers will be invited to submit extended versions of their work to Special Issue Machine Learning Approaches in Big Data Visualization of the IEEE Computer Graphics and Applications (CG&A) .