Welcome to DMML 2023

4th International Conference on Data Mining & Machine Learning (DMML 2023)

September 23 ~ 24, 2023, Toronto, Canada


Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms New

Program Committee

More Details...



Accepted Papers

More Details...



Venue

Toronto, Canada

More Details...

Scope

4th International Conference on Data Mining & Machine Learning (DMML 2023) 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 Big Data and Machine Learning.


Call for Papers


4th International Conference on Data Mining & Machine Learning (DMML 2023) 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 Big Data 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 Data Mining and Machine Learning.

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


    Data mining foundations
  • 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
  • Social Networks
  • Educational Data Mining
    Knowledge Processing
  • Data and Knowledge Representation
  • Knowledge Discovery Framework and Process
  • Including Pre- and Post-Processing
  • Integration of Data Warehousing
  • OLAP and Data Mining
  • Integrating Constraints and Knowledge in the KDD Process
  • Exploring Data Analysis
  • Inference of Causes
  • Prediction
  • Evaluating
  • Consolidating and Explaining Discovered Knowledge
  • 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
  • Mining from Low-Quality Information Sources
  • Machine learning
  • Machine Learning Applications
  • Learning in knowledge-intensive systems
  • Learning Methods and analysis
  • Learning Problems
  • Deep Learning

Paper Submission

Authors are invited to submit papers through the conference Submission System by May 06, 2023. 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
Submission Deadline

May 06, 2023

Authors Notification

August 06, 2023

Registration & camera - Ready Paper Due

August 14, 2023

Proceedings

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

Sponsors