Welcome to DMML 2024

5th International Conference on Data Mining & Machine Learning (DMML 2024)

March 23 ~ 24, 2024, Sydney, Australia

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

Program Committee

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Accepted Papers

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Sydney, Australia

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Scope Call for Participation Program Schedule

5th International Conference on Data Mining & Machine Learning (DMML 2024) 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.


Call for Papers


5th International Conference on Data Mining & Machine Learning (DMML 2024) 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).

Important Dates

Third Batch : (Submissions after February 17, 2024)

Submission Deadline

Closed

Authors Notification

March 21, 2024

Registration & camera - Ready Paper Due

March 22, 2024

Proceedings

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

Sponsors


Speakers


Qingyue Xiong
Hunan University
China

Mashaal Abdullah Mohammed Saif
Universiti Teknologi Malaysia
Malaysia

Jaekeol Choi
University of New Hampshire
USA

Phillip G. Bradford
University of Connecticut
USA

Nidula Rawindith Elgiriyewithana
Robert Gordon University
Sri Lanka

Ayoub Nainia
Sorbonne Université
France

Ahmad Mater S Aljohani
University of Canberra
Australia