会议信息

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

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DSCI
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截稿日期:
2026-07-25 Extended
通知日期:
2026-08-30
会议日期:
2026-10-26
会议地点:
Exeter, UK
届数:
8
主办方:
浏览: 32668   关注: 6   参加: 5

会伴指数 (CP-I)

48.3 / 100
全站第 1,999 名 / 共 5,683 个会议 · 前 36%

数据挖掘与数据库 第 114 / 337 人工智能与机器学习 第 207 / 740

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
59
社区关注 (10%)
37
资料公开度 (15%)
35

用到的输入: 有据可查的届次：8 · 在会伴关注它的研究者：6 人 · 过去 24 个月打开过本页的研究者：10 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 45% —— 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 2026-09-22

征稿

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
由 Rui Jin 最后更新于

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