Conference Information

BDVA 2018: International Symposium on Big Data Visual and Immersive Analytics

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Submission Date:
2018-07-01 Extended
Notification Date:
2018-08-26
Conference Date:
2018-10-17
Location:
Konstanz, Germany
Years:
4
Viewed: 15958   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

41.4 / 100
Ranked #4,752 of 5,693 conferences · Top 84%

#225 of 246 in Computer Vision & Pattern Recognition #282 of 337 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
43
Community attention (10%)
15
Public record completeness (15%)
25

Inputs used: Editions on record: 4 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-05

Call For Papers

BDVA 2018 (International Symposium on Big Data Visual and Immersive Analytics) is an academic conference held in Konstanz, Germany on 2018-10-17. The paper submission deadline is 2018-07-01 (extended). Acceptance notifications are sent on 2018-08-26.

The symposium will accept a range of manuscript types, including methods, systems, applications, evaluation techniques and theoretical work in the area of Immersive Analytics and Visual Analytics of Big Data. The scientific scope of the symposium includes, but is not limited to: Immersive Analytics Foundations of Immersive Analytics Immersive Storytelling Scalable Visual Analytics Virtual and Augmented Reality for Analytics Visual Analytics of High-dimensional Data Big Data Management, Transformation, and Presentation Machine Learning and Data Mining for Big Data Visual Analytics Analytical Reasoning and Sense-making on Big Data Human-Computer Interaction on Big Data Volunteer Geographic Information High Performance Computing for Visualisation Context-driven User Querying Semantics-driven Visual Analytics
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