会议信息

ADMA 2026: International Conference on Advanced Data Mining and Applications

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
嵌入截止倒计时徽章
ADMA
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2026-05-29
通知日期:
2026-08-03
会议日期:
2026-11-01
会议地点:
Hong Kong, China
届数:
22
CCF: C   ICORE: C   QUALIS: B2   浏览: 66377   关注: 36   参加: 14

会伴指数 (CP-I)

71.0 / 100
全站第 321 名 / 共 5,687 个会议 · 前 6%

数据挖掘与数据库 第 20 / 337

学术认可 (35%)
68
投稿选择性 (20%)
69
会议传承 (20%)
84
社区关注 (10%)
68
资料公开度 (15%)
65

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B2 · 录用率：37.7%（有记录的 3 届的均值） · 有据可查的届次：22 · 在会伴关注它的研究者：36 人 · 过去 24 个月打开过本页的研究者：82 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 2026-09-29

征稿

ADMA 2026 (International Conference on Advanced Data Mining and Applications) is a CCF C / ICORE C / QUALIS B2 conference held in Hong Kong, China on 2026-11-01. The paper submission deadline is 2026-05-29. Acceptance notifications are sent on 2026-08-03.

Themes and Topics We invite authors to submit papers relevant to the topics include, but are not limited to: Data Mining Theories and Technologies Data mining foundations and algorithms Grand challenges in big data mining Mining on data streams Graph mining Spatial and temporal data mining Text, video, multimedia data mining Web mining and social networks Correlation mining and causality analysis Recommender systems Generative data mining Deep learning models for data mining Trustworthy and responsible data mining Data mining security and privacy Federated and privacy-aware data mining Parallel and distributed data mining Interactive data mining and visualisation Benchmarking and evaluations Trends in advanced data mining Data Mining Applications Data mining for edge intelligence Data mining for bioinformatics Image mining & interpretations E-commerce data mining Healthcare informatics Disaster prediction and prevention Data Mining Applications with LLMs Financial market analysis Software analysis with data mining Data mining enhanced education Data mining for AgriTech Data mining in Internet of Things Mining for database management Data mining for space science Data mining for cyber security Data mining for eScience Smart Cities applications Data mining for societal science
由 Dou Sun 最后更新于

录用率

平均录用率: 37.7% 3 年间 (2005–2016).

年份提交数录用数录用率(%)
20161055653.3%
20132229643.2%
200560210016.6%

看过这个的人也在看

CCFICORECP-I简称全称截稿日期会议日期
CA80.5ECIREuropean Conference on Information Retrieval2026-09-212027-03-21
AA*97.0The Web ConferenceThe ACM Web Conference2026-10-182027-05-10
CB72.3PAKDDPacific-Asia Conference on Knowledge Discovery and Data Mining2026-11-202027-06-29
CA85.1FCInternational Conference on Financial Cryptography and Data Security2026-09-172027-02-08
AA*97.3ICDEInternational Conference on Data Engineering2026-11-112027-05-17
BB74.4DASFAAInternational Conference on Database Systems for Advanced Applications2026-11-222027-05-28
BB92.8COLINGInternational Conference on Computational Linguistics2026-10-122027-05-09
BA85.0CSFIEEE Computer Security Foundations Symposium2027-01-282027-07-26
AA*97.7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
BA91.1AAMASInternational Joint Conference on Autonomous Agents and Multi-agent Systems2026-10-012027-05-03

相关会议

相关期刊

CCF全称影响因子出版商ISSN
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790
CComputer Communications4.3Elsevier0140-3664

评论 0

暂无评论。

请登录后发表评论