会议信息

DMKD 2024: International Conference on Data Mining and Knowledge Discovery

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。
截稿日期:
2024-04-08
通知日期:
2024-05-08
会议日期:
2024-06-07
会议地点:
Online
浏览: 32737   关注: 30   参加: 1
嵌入截止倒计时徽章
DMKD
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。

会伴指数 (CP-I)

45.4 / 100
全站第 2,805 名 / 共 5,694 个会议 · 前 50%

数据挖掘与数据库 第 168 / 336

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%)
41
资料公开度 (15%)
25

用到的输入: 在会伴关注它的研究者:30 人 · 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 2026-10-09

征稿

DMKD 2024 (International Conference on Data Mining and Knowledge Discovery) is an academic conference held in Online on 2024-06-07. The paper submission deadline is 2024-04-08. Acceptance notifications are sent on 2024-05-08.

2024 International Conference on Data Mining and Knowledge Discovery (DMKD 2024) will be held virtually on 7-9 June, 2024. We are living in a world that is more and more a digital world. We feel that, on these pandemic days. Most of the economy, education, social interactions, etc. is digital. As the pandemic crisis evolve, we can still develop social interactions, maintain schools and universities work, continuing trading, buying, and selling using e-commerce platforms. The importance of computers, networks, and communications never has been so relevant as on those days! DMKD will be an ideal platform for scholars, researchers and professionals to exchange insights and discuss the development of Data Mining and Knowledge Discovery. It will be a perfect gathering to learn about new perspectives, technologies and trends which might pushes the boundaries of the technology and eventually creates a broader future for applications. Welcome the professionals, experts, managements and students from the universities, research institutions, and companies to attend the conference!
由 Dou Sun 最后更新于

相关期刊

CCF全称影响因子出版商ISSN
BData Mining and Knowledge Discovery4.3Springer1384-5810
Materials DiscoveryElsevier2352-9245
BACM Transactions on Knowledge Discovery from Data4.8ACM1556-4681
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

评论 0

暂无评论。

请登录后发表评论