会议信息

SDM 2026: SIAM International Conference on Data Mining

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SDM
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截稿日期:
2026-04-10
通知日期:
会议日期:
2026-11-19
会议地点:
Salt Lake City, Utah, USA
届数:
26
CCF: B   ICORE: A   QUALIS: A2   浏览: 276360   关注: 203   参加: 24

会伴指数 (CP-I)

86.0 / 100
全站第 116 名 / 共 5,658 个会议 · 前 3%

数据挖掘与数据库 第 7 / 337

学术认可 (35%)
92
投稿选择性 (20%)
97
会议传承 (20%)
89
社区关注 (10%)
69
资料公开度 (15%)
65

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A2 · 录用率：14.5%（有记录的 4 届的均值） · 有据可查的届次：26 · 在会伴关注它的研究者：203 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 100% —— 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 2026-09-10

征稿

SDM 2026 (SIAM International Conference on Data Mining) is a CCF B / ICORE A / QUALIS A2 conference held in Salt Lake City, Utah, USA on 2026-11-19. The paper submission deadline is 2026-04-10.

Topics of Interest: We welcome contributions addressing all aspects of data mining, machine learning, and visual analytics, including but not limited to: Included Themes Methods and Algorithms Anomaly & outlier detection Big data & large-scale systems Causal inference Classification & semi-supervised learning Clustering & unsupervised learning Data cleaning & integration Datasets & benchmarks Deep learning & representation learning Generative artificial intelligence (AI), foundation models, & agentic AI Knowledge-guided and physics-informed machine learning Mining data streams Mining graphs & complex data Mining on emerging architectures & data clouds Mining spatial & temporal data Mining text, web & social media Optimization methods Parallel & distributed methods Probabilistic & statistical methods Scalable & high-performance mining Self-supervised learning & reinforcement learning Transfer learning, continual learning, lifelong learning, & open-ended learning Visualization & interactive analytics Applications of Data Mining AI for Science (climate science, hydrology, neuroscience, cognitive science, material science, life sciences, chemistry, physics, engineering, etc.) Business & marketing Healthcare & bioinformatics Scientific hypothesis generation & validation Human Factors and Social Issues Ethics of data mining Intellectual ownership Interpretable, explainable, & trustworthy AI Privacy & fairness models Privacy preserving data mining Risk analysis & risk management Transparency & algorithmic bias
由 Dou Sun 最后更新于

录用率

平均录用率: 14.5% 4 年间 (2002–2008).

年份提交数录用数录用率(%)
20082824014.2%
20073023611.9%
20052184018.3%
20022503413.6%

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ASIAM Journal on ComputingSIAM0097-5397
BSIAM Journal on Imaging SciencesSIAM1936-4954
CSIAM Journal on Discrete MathematicsSIAM0895-4801
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050

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