The 2027 International Conference on Data Science and Intelligent Information Processing (DSIIP 2027) invites original and high-quality papers covering (but not limited to) the following topics:
📚︎Data Science
Big Data Analytics and Mining
Data Modeling and Computing Theory
Data Visualization and Interaction Technologies
High-Performance Data Computing Platforms
Data Quality, Provenance, and Management
Multi-source Heterogeneous Data Fusion
Time Series and Stream Data Processing
Data Privacy, Security, and Ethics
Data-Driven Scientific Discovery
Machine Learning and Data Representation Learning
Data Storage and Indexing Technologies
Data Lifecycle Management
Graph Data and Social Network Analysis
Dimensionality Reduction and Feature Selection for High-Dimensional Data
Data Preprocessing and Cleaning Methods
Distributed and Parallel Data Computing
Interpretability in Data Science
Data-Driven Decision Support Systems
Wearable Device Sensing Data Analysis
📚︎Intelligent Information Processing
Intelligent Information Retrieval and Recommendation
Natural Language Processing and Text Understanding
Computer Vision and Image Understanding
Multimodal Information Processing and Fusion
Knowledge Graphs and Reasoning Technologies
Intelligent Perception and Pattern Recognition
Speech, Audio, and Signal Processing
Intelligent Decision-Making and Prediction Systems
Edge Intelligence and Distributed Processing
Brain-Inspired Computing and Cognitive Information Processing
Granular Computing and Rough Sets for Information Processing
Fuzzy Information Processing and Soft Computing
Intelligent Agents and Multi-Agent Systems
Affective Computing and Human-Computer Interaction
Information Fusion and Belief Assessment
Deep Neural Networks for Information Processing
Intelligent Methods in Bioinformatics
Intelligent Information Compression and Transmission
Computer-Supported Collaborative Design Information Fusion