会议信息

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

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截稿日期:
2026-06-10 已截稿
通知日期:
2026-07-10
会议日期:
2026-07-25
会议地点:
Taiyuan, China
届数:
22
QUALIS: B2   浏览: 79141   关注: 55   参加: 31
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ICNC-FSKD
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会伴指数 (CP-I)

62.0 / 100
全站第 549 名 / 共 5,696 个会议 · 前 10%

数据挖掘与数据库 第 28 / 336 人工智能与机器学习 第 44 / 741

学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
84
社区关注 (10%)
60
资料公开度 (15%)
35

用到的输入: 收录等级:QUALIS B2 · 有据可查的届次:22 · 在会伴关注它的研究者:55 人 · 过去 24 个月打开过本页的研究者:17 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-13

征稿

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.
由 ZY Hu 最后更新于

相关期刊

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Materials DiscoveryElsevier2352-9245
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AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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