The IEEE International Conference on Data Engineering (ICDE) 2021 Industry and Applications Track will feature high quality submissions describing innovation in all areas of data management systems as well as innovative and demanding application scenarios. The track will emphasize submissions that describe innovative industrial advancements in relevant areas including (but not limited to) database and data management systems, scalable machine learning and data mining systems, stream data processing and IoT, information retrieval, knowledge discovery, data quality and cleaning, information integration, cloud systems, mobile data management, data systems on new hardware. Submissions that do not articulate the innovative aspect of a product or application project (including relevant open source software), but rather give a general overview or address a pure research problem, are discouraged.
The Industry Track will accept short (6 pages) as well as long (12 pages) submissions.
ICDE 2021 will have one round of submissions.
All deadlines are 11:59PM Anywhere on Earth (AoE).
Manuscripts must be prepared in accordance with the IEEE format and submitted to the CMT Industry track: https://cmt3.research.microsoft.com/ICDE2021/Track/3/Submission/Create
Long papers must not exceed 12 pages and short papers must not exceed 6 pages, including the bibliography and any appendix.
Only electronic submissions in PDF format will be considered.
A paper submitted to ICDE 2021 cannot be under review for any other conference or journal during the entire time it is considered for ICDE 2021, and it must be substantially different from any previously published work
Submissions are reviewed in a single-blind manner.
All accepted papers will appear in the proceedings. The best papers will be selected for extended versions to be published in the IEEE Transactions on Knowledge and Data Engineering. IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore) if none of the authors attends the conference to present their paper.
Ralf Klinkenberg, RapidMiner
Feifei Li, Alibaba and University of Utah
Neoklis (Alkis) Polyzotis, Google