6th International Conference on Data Science and Applications (DSA 2025)

Scope & Topics

6^th International Conference on Data Science and Applications (DSA 2025) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Applications.

Topics of interest include, but are not limited to, the following:

Big Data Algorithms
Big Data Applications
Big Data Fundamentals
Big Data Management and Frameworks
Big Data Search
Big Data security
Bioinformatics
Bio-Metrics
Consistent Data Model
Data and Knowledge Representation
Data Streams Mining, Graph Mining, Spatial Data Mining
Databases
Deep Learning
Exploring Data Analysis
Financial Modeling
Forecasting, Classification, Clustering
Image Analysis
Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge
Infrastructures for Big Data
Integrating Constraints and Knowledge in the KDD Process
Integration of Data Warehousing
Interactive Data Exploration / Visualization and Discovery
Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
Languages and Interfaces for Data Mining
Learning in knowledge-intensive systems
Learning Problems
Machine Learning Applications
Mining from Low-Quality Information Sources
Mining Trends, Opportunities and Risks
OLAP and Data Mining
Parallel and Distributed Data Mining Algorithms
Pre-Processing Techniques, Visualization
Security and Information Hiding in Data Mining
Social Networks, Educational Data Mining
Statistical Techniques for Generation a Robust
Text video, Multimedia Data Mining, Web Mining

Paper Submission

Authors are invited to submit papers through the conference Submission System by August 09, 2025 .

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published byComputer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

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