Conference Information

ICNC-FSKD 2026: International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

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ICNC-FSKD
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Submission Date:
2026-06-10 Extended
Notification Date:
2026-07-10
Conference Date:
2026-07-25
Location:
Taiyuan, China
Years:
22
QUALIS: B2   Viewed: 78530   Tracked: 55   Attend: 31

Conference Partner Index (CP-I)

62.0 / 100
Ranked #535 of 5,682 conferences · Top 10%

#28 of 337 in Data Mining & Databases #43 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
68
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
84
Community attention (10%)
60
Public record completeness (15%)
35

Inputs used: Listed as QUALIS B2 · Editions on record: 22 · Researchers following it here: 55 · Researchers who opened this page in the past 24 months: 17

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 80% - 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 2026-09-14

Call For Papers

ICNC-FSKD 2026 (International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery) is a QUALIS B2 conference held in Taiyuan, China on 2026-07-25. The paper submission deadline is 2026-06-10 (extended). Acceptance notifications are sent on 2026-07-10.

Topics Submissions of papers describing original work in, but not limited to, the following topics are enthusiastically encouraged. Neural Computation - Deep Learning; Recurrent Neural Networks Support Vector Machines and Statistical Neural Network Models; Unsupervised and Semi-supervised Learning Neural Networks. Evolutionary Computation - Genetic and Evolutionary Algorithms; Particle Swarm Optimization and Ant Colony Optimization; Multi-Objective Optimization; Artificial Life and Artificial Immune Systems; Intelligent Agents; Quantum Computing; Molecular, DNA, Membrane, and Cultural Computing. Fuzzy Theory and Algorithms - Fuzzy theory and models; Rough Set; Granular Computation; Uncertainty Management Natural Computation Applications - Data analysis; Image, speech and signal processing; Vision and multimedia; Control and robotics, Decision and support. Knowledge Discovery Foundations- Association Rules; Classification; Clustering; Privacy Preserving Data Mining; Statistical Methods for Data Mining; Parallel/Distributed Data Mining; Knowledge Management; Machine Learning and Artificial Intelligence. Knowledge Discovery in Specific Domains - Big data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Bioinformatics, Financial engineering. Information Technology for Knowledge Discovery - Data engineering; Signal processing and multimedia; Communications and networking; Software engineering; Automation, robotics, and control; Distributed systems and computer hardware.
Last updated by ZY Hu on

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