会议信息

ADBIS 2024: European Conference on Advances in Databases and Information Systems

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截稿日期:
2024-04-15 已截稿
通知日期:
2024-06-10
会议日期:
2024-08-28
会议地点:
Bayonne, France
届数:
28
ICORE: C   QUALIS: B1   浏览: 23806   关注: 8   参加: 3
嵌入截止倒计时徽章
ADBIS
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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)

62.1 / 100
全站第 542 名 / 共 5,696 个会议 · 前 10%

信息系统与 Web 第 24 / 253 数据挖掘与数据库 第 26 / 336

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
91
社区关注 (10%)
29
资料公开度 (15%)
25

用到的输入: 收录等级:ICORE C, QUALIS B1 · 有据可查的届次:28 · 在会伴关注它的研究者:8 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 80% —— 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 2026-10-13

征稿

ADBIS 2024 (European Conference on Advances in Databases and Information Systems) is a ICORE C / QUALIS B1 conference held in Bayonne, France on 2024-08-28. The paper submission deadline is 2024-04-15. Acceptance notifications are sent on 2024-06-10.

General Information ADBIS conferences provide an international platform for the presentation of research on database theory, development of advanced DBMS technologies, solutions for data engineering and analytics, and their advanced applications. The main objective of the ADBIS series of conferences is to provide a forum for the dissemination of research accomplishments and to promote interaction and collaboration among the database, information systems, data science, artificial intelligence and machine learning communities from European countries and the rest of the world. ADBIS 2024 will consist of regular sessions with technical contributions reviewed and selected by an international program committee, as well as of invited keynote and tutorial talks presented by leading scientists. For the second consecutive time in the ADBIS series, ADBIS 2024 considers a shepherding phase to help authors of borderline papers improve their papers. Topics We invite the submission of original research contributions addressing core data management tasks, as well as techniques and technologies in the following broad areas of data management: Database Management Systems Information Systems Architectures and Data Services Management and Mining of Heterogeneous Data Types Big Data Management and Analytics Scalable Data Science Responsible Data Science
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
Advances in Engineering Software5.7Elsevier0965-9978
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
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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