会议信息

DSS 2026: IEEE International Conference on Data Science and Systems

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:
2026-07-15 已截稿
通知日期:
2026-09-10
会议日期:
2026-10-29
会议地点:
Luoyang, China
届数:
浏览: 33457   关注: 25   参加: 5
这一页信息有误？告诉我们
嵌入截止倒计时徽章
DSS
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)

54.3 / 100
全站第 970 名 / 共 5,771 个会议 · 前 17%

数据挖掘与数据库 第 47 / 340

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%)
69
社区关注 (10%)
47
资料公开度 (15%)
55

用到的输入: 有据可查的届次：12 · 在会伴关注它的研究者：25 人 · 过去 24 个月打开过本页的研究者：7 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 45% —— 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 2026-11-08

征稿

DSS 2026 (IEEE International Conference on Data Science and Systems) is an academic conference held in Luoyang, China on 2026-10-29. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-09-10.

As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing and etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels such as smart devices, web, mobile and social media. Data systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raised and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need. DSS (Data Science and Systems) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy. IEEE DSS-2026 will be held in Luoyang, China, a historic city renowned for its rich cultural heritage and as one of the ancient capitals of China. The city features world-famous landmarks such as the Longmen Grottoes and the White Horse Temple, offering an inspiring environment that blends tradition with modern innovation. Prospective authors are invited to submit their papers to DSS-2026. Accepted papers will be submitted for inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements. Authors of selected best papers will be invited to extend their work for special issues of prestigious journals planned in conjunction with the conference. Topics of interest include, but are not limited to: Track 1: Data Science Foundational theories of data science Data classification and taxonomy Data metrics and metrology Data analytics Social network analysis and mining Security, privacy, and trust in data Track 2: Data Processing Technology Data representation and processing Machine learning and deep learning Graph neural networks Semi-supervised and unsupervised learning Statistical, mathematical, and probabilistic modeling and theories Information retrieval Data visualization Track 3: Data Systems Storage and file systems High-performance access toolkits Compiler and runtime support Real-time data-intensive systems Multi-/many-core platforms Big data and cloud computing Track 4: Data Applications Business and financial applications Industrial data applications Bioinformatics applications Healthcare and medical services Applications in soil and water HPC systems for data applications Future data applications
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
CDecision Support Systems6.8Elsevier0167-9236
Digital Social SciencesInnovative Insights (SMC-Private) Limited3078-4972
IEEE Intelligent Systems6.1IEEE1541-1672
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 Letters3.5Elsevier0167-8655

评论 0

暂无评论。

请登录后发表评论