2027 International Conference on Data Science and Intelligent Information Processing(DSIIP 2027)


Call For Papers

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

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