6^th International Conference on Data Science and Machine Learning (DSML 2025)

November 08 ~ 09, 2025, Melbourne, Australia

Scope & Topics

6^th International Conference on Data Science and Machine Learning (DSML 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 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.

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, ClusteringCryptography 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 September 20, 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 by The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from DSML 2025, after further revisions, will be published in the special issue of the following journals.

• Machine Learning and Applications: An International Journal (MLAIJ)
  
• International Journal of Data Mining & Knowledge Management Process ( IJDKP ) - WJCI Indexed
  
• International Journal of Database Management System (IJDMS) - WJCI Indexed
  
• International Journal of Web & Semantic Technology (IJWesT) - IS Indexed
  

Important Dates

Co - Located Event

• 11^th International Conference on Software Engineering and Applications (SOFEA 2025)
  
• 11^th International Conference of Control Theory and Computer Modelling (CTCM 2025)
  
• 11^th International Conference on Signal Processing and Pattern Recognition (SIPR 2025)
  
• 11^th International Conference of Networks, Communications, Wireless and Mobile Computing (NCWC 2025)
  
• 6^th International Conference on Big Data, IOT and Blockchain (BIBC 2025)
  
• 12^th International Conference on Computer Science and Engineering (CSEN 2025)
  
• 6^th International Conference on Education and Integrating Technology (EDTECH 2025)
  
• 14^th International Conference on Natural Language Processing (NLP 2025)
  
• 12^th International Conference on Artificial Intelligence & Applications (ARIA 2025)
  

***** The invited talk proposals can be submitted to dsml@csen2025.org