会议信息

ICDM'' 2026: International Conference on Intelligent Computing and Data Mining

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ICDM''
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截稿日期:
2026-10-16 还有 27 天
通知日期:
2026-10-20
会议日期:
2026-10-30
会议地点:
Changchun, China
届数:
3
浏览: 4647   关注: 1   参加: 0

会伴指数 (CP-I)

42.5 / 100
全站第 4,033 名 / 共 5,682 个会议 · 前 71%

数据挖掘与数据库 第 242 / 337 人工智能与机器学习 第 515 / 739

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%)
37
社区关注 (10%)
23
资料公开度 (15%)
35

用到的输入: 有据可查的届次：3 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：8 人

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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 2026-09-19

征稿

ICDM'' 2026 (International Conference on Intelligent Computing and Data Mining) is an academic conference held in Changchun, China on 2026-10-30. The paper submission deadline is 2026-10-16. Acceptance notifications are sent on 2026-10-20.

The 3rd International Conference on Intelligent Computing and Data Mining (ICDM 2026) will be held from October 30 to November 1, 2026, in Changchun, China. At this conference, experts and scholars from around the world will engage in in-depth discussions on intelligent computing and data mining, which are current research hotspots in the field of information technology. As key technologies widely applied in industries such as finance, healthcare, education, and transportation, intelligent computing and data mining are facing both challenges and opportunities brought by the era of big data. With the explosive growth of data volume, extracting valuable information from massive datasets has become an urgent problem to be solved. Intelligent computing and data mining address this challenge by analyzing and processing data, providing intelligent decision support. These technologies are not merely technical tools but also represent a way of thinking—they require us to adopt a data-driven approach when confronting complex problems, uncovering patterns and correlations behind the data to identify the essence of problems and their solutions. This conference will delve into the latest research achievements in the field of intelligent computing and data mining, providing a platform to share experiences and insights, and collectively advancing the development of this dynamic field. The topics of interest for submission include, but are not limited to: ◕Intelligent Computing · Evolutionary Computing and Learning · Genetic Algorithms · Particle Swarm Optimization and Niche Technology · Swarm Intelligence and Optimization · Independent Component Analysis · Natural Computing · Quantum Computing · Neural Networks · Nature Inspired Computing and Optimization · Rough Sets · Fuzzy Theory and Algorithms · Pervasive/Ubiquitous Computing · Supervised Learning · Unsupervised Learning · Reinforcement Learning · Kernel Methods and Supporting Vector Machines · Machine Learning · Knowledge Discovery and Data Mining · Natural Language Processing and Computational Linguistics · Intelligent Computing in Robotics · Intelligent Computing in Computer Vision · Intelligent Computing in Finance/Banking · Intelligent Computing in Communication Networks · Intelligent Control and Automation · Intelligent Image/Document Retrievals · Intelligent Data Fusion · Intelligent Data Analysis & Prediction ◕Data Mining · Scalable Data Preprocessing · Parallel and Distributed Data Mining Algorithms · Mining on Data Streams · Graph and Subgraph Mining · Methodologies on Large-scale Data Mining · Text, Video, Multimedia Data Mining · Web Mining · High Performance Data Mining Algorithms · Data Mining Visualization · Security and Privacy Issues · Competitive Analysis of Mining Algorithms ---Publication---- All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the conference proceedings and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
由 Dou Sun 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
Statistical Analysis and Data MiningWiley1932-1872
International Journal of Data Mining, Modelling and ManagementInderscience1759-1163
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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