Conference Information

DSCI 2026: IEEE International Conference on Data Science and Computational Intelligence

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Submission Date:
2026-07-25 Extended
Notification Date:
2026-08-30
Conference Date:
2026-10-26
Location:
Exeter, UK
Years:
8
Organizer:
Viewed: 32672   Tracked: 6   Attend: 5

Conference Partner Index (CP-I)

48.3 / 100
Ranked #1,999 of 5,683 conferences · Top 36%

#114 of 337 in Data Mining & Databases #207 of 740 in Artificial Intelligence & Machine Learning

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%)
59
Community attention (10%)
37
Public record completeness (15%)
35

Inputs used: Editions on record: 8 · Researchers following it here: 6 · Researchers who opened this page in the past 24 months: 10

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 2026-09-22

Call For Papers

DSCI 2026 (IEEE International Conference on Data Science and Computational Intelligence) is an academic conference held in Exeter, UK on 2026-10-26. The paper submission deadline is 2026-07-25 (extended). Acceptance notifications are sent on 2026-08-30.

Scope and Topics Topics of interest include, but are not limited to: Track 1: Data Science Theory, Algorithms and Architectures Foundations of Data Science Programming Techniques Analytics and Metrics Representation Formats Cloud Computing Techniques Mobile and Pervasive Computing Data Management Data Quality Social Computing Social Network Analysis Protection, Integrity and Privacy Distributed Data Mining Visualization Track 2: Data Science Applications Web Intelligence Humanities Stock Market Analysis Scalable Cloud Data Management Privacy and Security Geosciences Manufacturing and Supply Chains Earth Science Biomedical Informatics High dimensional data Social Networks B2B Marketing and Sales Healthcare Sustainable development Advanced Manufacturing Track 3: Computational Intelligence for Big Data Processing Artificial Neural Networks and Learning methods Deep Learning Knowledge based systems Uncertainty management Global optimization methods Intelligent Control Systems Intelligent Internet Systems Intelligent Software Systems Parallel Computation Pattern Recognition Systems Modelling Web Mining Track 4: Data Mining and Applications Parallel and distributed data mining algorithms Data streams mining Time-series data mining Graph mining Spatial data mining Text video, multimedia data mining Web mining Pre-processing techniques Visualization Security and information hiding in data mining Data mining applications
Last updated by Rui Jin on

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