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

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Link: https://necom2024.org/dmml/index
 
When Mar 23, 2024 - Mar 24, 2024
Where Sydney, Australia
Submission Deadline Feb 24, 2024
Notification Due Mar 16, 2024
Final Version Due Mar 19, 2024
Categories    data mining   machine learning   deep learning   databases
 

Call For Papers

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

March 23 ~ 24, 2024, Sydney, Australia

Scope & Topics

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 February 24, 2024. 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 Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from DMML 2024, after further revisions, will be published in the special issue of the following journals.

Important Dates

Submission Deadline: February 24, 2024
Authors Notification: March 16, 2024
Final Manuscript Due: March 19, 2024

Co - Located Events

***** The invited talk proposals can be submitted to dmml@necom2024.org

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
ISCMI 2024   2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI 2024)
ECAI 2024   27th European Conference on Artificial Intelligence
CDMA 2024   8th International Conference on Data Science and Machine Learning
ECCV 2024   European Conference on Computer Vision
DSAI 2024   2nd International Conference on Data Science and Artificial Intelligence
CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex
KDIR 2024   16th International Conference on Knowledge Discovery and Information Retrieval
ICMLA 2024   23rd International Conference on Machine Learning and Applications