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 | Intelligent Information Processing |
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 | 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 |