data mining & big dataComputer Science and Technologies

The annual IEEE International Conference on Data Engineering (ICDE) addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences. We invite the submission of original research contributions.

Topics of interest:
We invite the submission of original research contributions in the following areas.
AI for Database Systems
Benchmarking, Performance Modeling, Tuning, and Testing
Cloud Data Management
Crowdsourcing
Data Mining and Knowledge Discovery
Data Models, Semantics, Query languages
Data Stream Systems and Edge Computing
Data Visualization and Interactive Data Exploration
Database Security and Privacy
Database technology for AI
Database technology for Blockchains
Distributed, Parallel and P2P Data Management
Explainability, Fairness, and Trust in Data Systems and Analysis
Graphs, Networks, and Semistructured Data
Information Integration and Data Quality
IoT Data Management
Modern Hardware and In-Memory Database Systems
Query Processing, Indexing, and Optimization
Spatial Databases and Temporal Databases
Text, Semi-Structured Data, IR, Image, and Multimedia databases
Uncertain, Probabilistic, and Approximate Databases
Very Large Data Science Applications/pipelines
Workflows, Scientific Data Management

General Chair:
Chen Li, University of California, Irvine, USA.

Research Program Committee Chairs:
Lei Chen, Hong Kong University of Science and Technology, Hong Kong;
Stefan Manegold, CWI, Amsterdam, Netherlands;
Sharad Mehrotra, University of California, Irvine, USA.