6th International Conference on Data Mining & Machine Learning (DMML 2025)

March 15 ~ 16, 2025, Vienna, Austria


Hybrid -- Registered authors can present their work online or face to face New

Scope & Topics Call for Participation Program Schedule


6th International Conference on Data Mining & Machine Learning (DMML 2025) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining 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 Mining and Machine Learning.

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

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

Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed .

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).

Submit

Important Dates

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Third Batch : (Submissions after February 10, 2025)

Submission Deadline : Closed

Authors Notification : March 12, 2025

Registration & Camera-Ready Paper Due : March 13, 2025

Courtesy

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Invited Talk

Jelena Vasiljević
Union University
Serbia

Supported by

IJCNC

Proceedings


Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library





Speakers



Meethun Panda
Cornell University
UAE

Soumyodeep Mukherjee
Genmab
USA

Shuangbao “Paul” Wang
Morgan State University
USA

Sineglazov Victor
National Aviational University
Ukraine

Hikaru Wakaura
QuantScape Inc
Japan

Yisong Chen
Harvard University
US

Ilgar Aliyev
Azerbaijan Architecture and Construction University
Baku Azerbaijan

Zixuan Zhou
Brandeis University
United States

Alan Zheng
USA

Kailash Thiyagarajan
Independent Researcher
USA

Cheng Chang
BASIS Silicon Valley
USA

Logan Chang
USA