Conference Information

iDSC 2019: International Data Science Conference

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Submission Date:
2019-01-11
Notification Date:
2019-02-24
Conference Date:
2019-05-22
Location:
Salzburg, Austria
Years:
2
Viewed: 14577   Tracked: 0   Attend: 0
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iDSC
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Conference Partner Index (CP-I)

38.0 / 100
Ranked #5,415 of 5,695 conferences · Top 96%

#327 of 336 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%)
30
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 2 · 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 2026-10-10

Call For Papers

iDSC 2019 (International Data Science Conference) is an academic conference held in Salzburg, Austria on 2019-05-22. The paper submission deadline is 2019-01-11. Acceptance notifications are sent on 2019-02-24.

Topics interest include, but are not limited to: Agile Artificial Intelligence & Machine Learning Deep Learning and Convolutional Neural Networks Knowledge Representation & Reasoning Supervised and Unsupervised Learning Predictive Analytics and Methods Machine Learning & Intelligence Implementation of Agile Data Mining Processes Data Scraping & Pre-Processing Data Fusion & Integration Data Masking & Classification Data Resilience Assessment Data-centric Audit and Protection Tools Data Analytics in Security Technologies Agile Data Science and Visualization Interfaces And Interaction Techniques Collaborative, Co-Located And Distributed Visualization Visual Data Mining And Visual Knowledge Discovery Cognition And Perception Immersive And Virtual Environments Case Studies and Applications for Agile Data Science Blockchain Graph Databases Distributed Computing Platforms / HPC Cyber-physical Systems Edge/Fog Computing Green Computing
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