International Conference on Data Storage and Data Engineering on March 27-29, 2026 in Chengdu, China

- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.dsde.org/
- Program URL: https://www.dsde.org/Schedule.html
- Contact URL: https://www.dsde.org/index.html
- Contact E-mail: [email protected]
- Location: Chengdu, China
- Date: March 27-29, 2026
- Final Submission: February 10, 2026
- Organization: International Association of Computer Science and Information Technology
- Conference Tags: data networks data processing data engineering data security data science
Publication:
All papers will be strictly double blind reviewed by the program committee, and accepted papers of DSDE 2026 after proper registration and presentation will be published in the International Conference Proceedings.
DSDE 2024 conference proceedings (ACM-ISBN: 979-8-4007-1693-5) has been indexed by Ei Compendex and Scopus.
DSDE 2023 conference proceedings (IEEE CPS-ISBN: 979-8-3503-3314-5) has been indexed by Ei Compendex and Scopus.
DSDE 2022 conference proceedings (ACM-ISBN: 978-1-4503-9572-4) has been indexed by Ei Compendex and Scopus.
DSDE 2021 conference proceedings (ACM-ISBN: 978-1-4503-8930-3) has been indexed by Ei Compendex and Scopus.
DSDE 2019 conference proceedings (ACM-ISBN: 978-1-4503-7216-9) has been indexed by Ei Compendex and Scopus.
Submission Guideline:
♢ English is the official language. Paper should be prepared and presented in English.
♢ Full paper (no less than 8 full Pages) submission is required for Publication and Presentation. For presentation only, just send us the abstract.
♢ Submission:
- By online submission system: http://confsys.iconf.org/submission/dsde2026
- Or Submit to [email protected] as attachment
Contact us:
Conference secretary: Ms. Yolanda Dong
Email: [email protected]
Tel.: +86-18080013977
Website: http://www.dsde.org/
Topics:
Topics of interest for submission include, but are not limited to:
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
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
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
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
For more topics, please visit: http://dsde.org/CFP.html
Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/
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