7th International Conference on Data Science and Machine Learning (DSML 2026)

Scope & Topics

7^th International Conference on Data Science and Machine Learning (DSML 2026) ) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

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

Data Mining

Parallel and Distributed Data Mining Algorithms
Data Streams Mining, Graph Mining, Spatial Data Mining
Text video, Multimedia Data Mining, Web Mining
Pre-Processing Techniques, Visualization
Security and Information Hiding in Data Mining
Data mining Applications

Databases

Bioinformatics
Biometrics
Image Analysis
Financial Modeling
Forecasting, Classification, Clustering Cryptography and Information security
Social Networks, Educational Data Mining

Big Data

Big Data Algorithms
Big Data Fundamentals
Infrastructures for Big Data
Big Data Management and Frameworks
Big Data Search
Big Data security
Big Data Applications
Data Mining & Machine learning Tasks
Machine Learning Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems

Deep Learning

Knowledge Processing
Data and Knowledge Representation
Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
Integration of Data Warehousing
OLAP and Data Mining
Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge
Integrating Constraints and Knowledge in the KDD Process
Exploring Data Analysis
Statistical Techniques for Generation a Robust
Consistent Data Model
Interactive Data Exploration / Visualization and Discovery
Languages and Interfaces for Data Mining
Mining Trends, Opportunities and Risks

Paper Submission

Authors are invited to submit papers through the conference Submission System by April 04, 2026 .

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 by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

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