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

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Link: https://bibc2026.org/dsml/index
 
When Aug 22, 2026 - Aug 23, 2026
Where Dubai, UAE
Submission Deadline May 30, 2026
Notification Due Jun 13, 2026
Final Version Due Jun 20, 2026
Categories    machine learning   data science   big data   data mining
 

Call For Papers

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

August 22 ~ 23, 2026, Dubai, UAE

Scope & Topics

7th 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 May 30, 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 The proceedings of the conference will be published by International Journal on Bioinformatics and Biosciences (IJBB) series (Confirmed).

Selected papers from DSML 2026, after further revisions, will be published in the special issue of the following journals.

Important Dates

Submission Deadline: May 30, 2026
Authors Notification: June 13, 2026
Final Manuscript Due: June 20, 2026

Co - Located Event

***** The invited talk proposals can be submitted to dsml@bibc2026.org



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