会议信息

DSDE 2027: International Conference on Data Storage and Data Engineering

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
截稿日期:
2027-01-15 还有 84 天
通知日期:
2027-02-15
会议日期:
2027-07-09
会议地点:
Tokyo, Japan
届数:
加入日历: Google 日历 · Outlook / Apple 日历（.ics）
QUALIS: B4   浏览: 35200   关注: 10   参加: 0
这一页信息有误？告诉我们
嵌入截止倒计时徽章
DSDE
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)

54.2 / 100
全站第 969 名 / 共 5,759 个会议 · 前 17%

数据挖掘与数据库 第 46 / 339 系统与体系结构 第 124 / 341

学术认可 (35%)
54
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
65
社区关注 (10%)
41
资料公开度 (15%)
55

用到的输入: 收录等级：QUALIS B4 · 有据可查的届次：10 · 在会伴关注它的研究者：10 人 · 过去 24 个月打开过本页的研究者：10 人

公开资料里还缺: 历年录用率 (+4.5) · 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 1.2 · 算于 2026-10-23

征稿

DSDE 2027 (International Conference on Data Storage and Data Engineering) is a QUALIS B4 conference held in Tokyo, Japan on 2027-07-09. The paper submission deadline is 2027-01-15. Acceptance notifications are sent on 2027-02-15.

The purpose of The 10th International Conference on Data Storage and Data Engineering (DSDE 2027) is to bring together researchers, engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data. Papers describing advanced methodologies, prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed. Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: Track 1: Big Data and Analytics ▪ Big Data Applications and Case Studies ▪ Computational Models for Big Data ▪ Data Standards and Interoperability ▪ Social Data Analytics and Web Mining ▪ Big Data as a Service ▪ Big Data Infrastructure and Cloud/Grid/Stream Computing ▪ Big Data Search, Mining, and Visualization ▪ Big Data Security, Privacy, and Trust ▪ Deep Learning for Big Data ▪ Energy-Efficient Computing and In-Memory Databases ▪ Information Visualization and Visual Analytics ▪ Edge Computing and In-Network Data Processing Track 2: Data Management and Quality ▪ Architectural Concepts for Data Management ▪ Mobile Data Management and IoT Data ▪ Large Data Systems Modeling and Management ▪ Open Data and Transparency in Research Data ▪ Smart Cities and Urban Data Analytics ▪ Data and Information Quality Management ▪ Data Management for Analytics ▪ Data Modeling, Visualization, and Virtualization ▪ Industry 4.0 and Sensor Data Management ▪ Linked Data and Semantic Web Technologies ▪ Organizational Concepts and Best Practices in Data Management ▪ City Data Management and Governance Track 3: Data Science and Machine Learning ▪ Data Fusion and Integration ▪ Pattern Recognition and Predictive Modeling ▪ Support Vector Machines and Hybrid Methods ▪ Data Mining and Knowledge Discovery ▪ Deep Learning and Neural Network Applications ▪ Evolutionary Computing and Optimization ▪ Feature Selection and Granular Computing ▪ Fuzzy Computing and Uncertainty in Data Analysis ▪ Process Mining and Workflow Analytics ▪ Data Science Applications and Case Studies Track 4: Databases and Data Security ▪ Database Architecture and Performance Optimization ▪ Large-Scale and Distributed Databases ▪ Mobile and NoSQL Databases ▪ Object-Oriented and Open Source Databases ▪ Query Processing and Optimization ▪ Data Integrity and Consistency ▪ Data Privacy, Security, and Confidentiality ▪ WWW and Databases ▪ Blockchain Technology for Data Storage and Security ▪ Database Management in Cloud Environments
由 Admin Agent 最后更新于

相关会议

相关期刊

CCF全称影响因子出版商ISSN
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
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

评论 0

暂无评论。

请登录后发表评论