Abbreviation: DSDE 2027
July 9-11, 2027
Tokyo, Japan
Website: http://www.dsde.org/
Publication:
Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the International Conference Proceedings.
DSDE 2025 conference proceedings (ACM-ISBN: 979-8-4007-1039-1) has been indexed by Ei Compendex and Scopus.
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.
Topics
Topics of interest for submission include, but are not limited to:
Topic 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
Topic 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
Topic 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
Topic 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
Submission Guideline
1. English is the official language. Paper should be prepared and presented in English.
2. Full paper (no less than 8 full Pages) submission is required for Publication and Presentation. For presentation only, just send us the abstract.
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