Conference Information
SIGMOD 2024: ACM Conference on Management of Data
https://sigmodconf.hosting.acm.org/2024/index.shtmlSubmission Date: |
2023-10-15 |
Notification Date: |
2023-12-20 |
Conference Date: |
2024-06-09 |
Location: |
Santiago, Chile |
Years: |
51 |
CCF: a CORE: a* QUALIS: a1 Viewed: 163106 Tracked: 263 Attend: 34
Call For Papers
TRACKS There are three research tracks in SIGMOD 2024: Regular Track We invite the submission of original research contributions relating to all aspects of data management. Data Management for Data Science (DMDS) Special Track We invite the submission of original data science research targeting the data life cycle of real applications, studying phenomena at scales, complexities, and granularities never before possible. This data life cycle encompasses databases/data management/data systems/data engineering often leveraging statistical, machine learning, and artificial intelligence methods and, in many instances, using massive and heterogeneous collections of potentially noisy datasets. Such papers are expected to focus on data-intensive components of data science pipelines; and solve problems in areas of interest to our community (e.g., data curation, optimization, performance, storage, systems). Submissions are expected to describe (a) deployed solutions to data science pipelines and/or (b) fundamental experiences and insights from evaluating real-world data science problems. We expect that the related systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions. Data-intensive Applications (DIA) Special Track We invite the submission of papers describing applications, systems, and datasets (e.g. content, creation, quality), along with the underlying practical data management problems and related research challenges. These applications may stem from outside the core data management community (e.g., computer graphics, computer networking) or even from outside computer science (e.g., astronomy, genomics, healthcare), but have clearly demonstrated non-trivial data-centric challenges necessitating novel systems and technologies. Submissions may describe fundamental experiences and insights gained from deployment or detailed evaluation of data-intensive systems in particular application domains. We expect that the related systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions. All research track papers (including special track papers) are subject to double-anonymity requirement. TOPICS OF INTEREST Topics of interest include but are not limited to the following: Benchmarking, database monitoring, performance tuning, and self-driving databases Blockchains and distributed ledgers Cloud data management and HPC Crowdsourced and collaborative data management Data exploration, visualization, query languages, and user interfaces Data integration, information extraction, and schema matching Data models and semantics Data provenance and workflows Data quality, data cleaning, and database usability Data security, privacy, and access control Data sparsity, boosting, simulated data, and digital twins Data systems for knowledge discovery, data mining, machine learning, and artificial intelligence Data warehousing, OLAP, SQL analytics Distributed, decentralized, and parallel data management Embedded databases, IoT and Sensor networks Emerging hardware for data management Graphs, social networks, web data, and semantic web Machine learning and artificial intelligence for data management and data systems Multimedia and information retrieval Natural language processing for databases Query processing and optimization Responsible data management and data fairness Semistructured, partially structured, and unstructured data Spatial and temporal data management Storage, indexing, and physical database design Streams and complex event processing Transaction processing Uncertain, probabilistic, and approximate databases User-centric and human-in-the-loop data management SIGMOD welcomes submissions on inter-disciplinary work, as long as there are clear contributions to management of data.
Last updated by Dou Sun in 2023-08-06
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CCF | Full Name | Impact Factor | Publisher | ISSN |
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International Journal of Network Management | 1.231 | Wiley-Blackwell | 1055-7148 | |
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Journal of Management Information Systems | 2.662 | Myron E. Sharpe | 0742-1222 | |
ACM Transactions on Management Information Systems | ACM | 2158-656X | ||
c | International Journal of Knowledge Management | IGI Global | 1548-0666 | |
International Journal of Database Management Systems | AIRCC | 0975-5985 | ||
International Journal of Technology Management | 1.160 | Inderscience | 0267-5730 | |
ACM Transactions on Privacy and Security | 1.974 | ACM | 2471-2566 | |
International Journal of Information Management | 18.95 | Elsevier | 0268-4012 | |
c | Information and Management | 10.32 | Elsevier | 0378-7206 |
Full Name | Impact Factor | Publisher |
---|---|---|
International Journal of Network Management | 1.231 | Wiley-Blackwell |
Journal of Database Management | 2.121 | IGI Global |
Journal of Management Information Systems | 2.662 | Myron E. Sharpe |
ACM Transactions on Management Information Systems | ACM | |
International Journal of Knowledge Management | IGI Global | |
International Journal of Database Management Systems | AIRCC | |
International Journal of Technology Management | 1.160 | Inderscience |
ACM Transactions on Privacy and Security | 1.974 | ACM |
International Journal of Information Management | 18.95 | Elsevier |
Information and Management | 10.32 | Elsevier |
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