会议信息

AIDM 2026: International Conference on Artificial Intelligence and Data Mining

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AIDM
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截稿日期:
2026-03-20
通知日期:
2026-03-24
会议日期:
2026-03-27
会议地点:
Hangzhou, China
浏览: 4105   关注: 0   参加: 0

会伴指数 (CP-I)

43.6 / 100
全站第 3,431 名 / 共 5,682 个会议 · 前 61%

数据挖掘与数据库 第 199 / 337 人工智能与机器学习 第 421 / 739

证据有限:这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里,也没有录用率数据,因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者:2 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 25% —— 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

AIDM 2026 (International Conference on Artificial Intelligence and Data Mining) is an academic conference held in Hangzhou, China on 2026-03-27. The paper submission deadline is 2026-03-20. Acceptance notifications are sent on 2026-03-24.

2026 International Conference on Artificial Intelligence and Data Mining (AIDM 2026) will be held on March 27-29, 2026 in Hangzhou, China. The goal of AIDM is to promote the research and developmental activities in Artificial Intelligence and Data Mining and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held to make it an ideal platform for people to share views and experiences in Artificial Intelligence and Data Mining and related areas. The topics of interest for submission include, but are not limited to: ◕ Artificial Intelligence · Computer Vision · Machine Learning · Artificial Intelligence Algorithms · Intelligent Manufacturing · Precision Manufacturing Technology · Virtual and Network Manufacturing · Industrial Robots and Automated Production Lines · Industrial Design and Manufacturing · Intelligent Control System · Mechanical Manufacturing Automation · Intelligent Sensing System · Aerospace Applications · Electrical Control Technology · Smart Factory and Automation Technology · Machine learning based production optimization · Deep Learning in Fault Detection and Diagnosis · Machine learning-driven product quality control · Predictive maintenance and real-time analytics · Autonomous Robots in Manufacturing Environments ◕ 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 · Data Mining Systems in Finance and E-commerce
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