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DSS 2026: IEEE International Conference on Data Science and Systems

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회원가입 로그인
투고 마감일:
2026-07-15 마감됨
통보일:
2026-09-10
개최일:
2026-10-29
개최지:
Luoyang, China
개최 횟수:
조회: 33452   팔로우: 25   참가: 5
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DSS
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회반 지수 (CP-I)

54.3 / 100
전체 5,771개 중 970위 · 상위 17%

데이터 마이닝·데이터베이스 분야 340개 중 47위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
69
커뮤니티 관심도 (10%)
47
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 12 · 회반에서 팔로우 중인 연구자: 25명 · 지난 24개월 동안 이 페이지를 연 연구자: 7명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-08

논문 모집

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
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CCF정식 명칭영향력 지수출판사ISSN
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

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