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

Program Committee

Accepted Papers

Venue

Toronto, Canada

Scope Call for Participation Program Schedule

4^th 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

4^th 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 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).

Selected papers from DMML 2023, after further revisions, will be published in the special issue of the following journal.

Important Dates

Third Batch : (Submissions after August 12, 2023)

Submission Deadline

Closed

Authors Notification

September 19, 2023

Registration & camera - Ready Paper Due

September 21, 2023

Other Conferences

Past Events

Invited Talk

Proceedings

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

Welcome to DMML 2023