DSIT 2025 welcomes relevant paper submissions from researchers in academia, industry, and government, such as students, engineers, practitioners, scientists, and policy makers. We welcome paper submissions with original technical and scientific research results in relevant topics.

 

Main Topics of Interest:

 

Data Science:
Theory of Data Science	Foundations of Data Science
Data Standards and Protocols	Data Structures and Algorithms
Data Metrics and Metrology	Data and Knowledge Representation
Big Data Characteristics and Solutions	Data Semantics and Ontology
Parallel and Distributed Data Computing	Data and Information Visualization
Database Management	Deep Learning and Applications
Supervised Learning / Semi-Supervised Learning	Unsupervised / Self-Supervised Learning
Feature Selection and Representation	Dimensional Reduction Theory and Practice
Graph Mining / Network Analysis	Stream Data Processing Algorithms / Distributed Data Mining Algorithms
Text and Web Data Mining	Temporal, Spatial, and High Dimensional Databases
Multimedia Data Mining	Smart City Data Management
Educational Data Mining	Machine Learning and Its Applications
Data Science Applications	Natural Language Processing
Data and Information Technology:
Data and Information Privacy Technology	Data-Intensive Information Technology Applications
Unstructured / Structured Database Technology	Data-Intensive Software Engineering
Data Management Technology in Smart City	Information Retrieval and Recommendation Systems
Big Data Algorithms and Technology	Information Security and Assurance in Big Data
Cloud/Grid Computing Technology in Big Data	Real-time System Technology in Big Data
High-Performance Data Computing Technology	Compliance and Governance for Big Data
Big Data Meet Green Challenges	Next-Generation Big Data Platform and Technology
Data Ecosystem Concepts and Technology	Trust, Fairness, Diversity, and Transparency in Big Data
Scientific / Commercial / Industrial Data System	Scientific / Commercial / Industrial Case Studies in Big Data