Welcome to DSML 2024

5th International Conference on Data Science and Machine Learning (DSML 2024)

December 21 ~ 22, 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

5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science 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 Science and Machine Learning.


Call for Papers


5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science 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 Science and Machine Learning.

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


    Data Mining
  • 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
  • Cryptography and Information security
  • Social Networks, Educational Data Mining

  • Big Data
  • Big Data Algorithms
  • Big Data Fundamentals
  • Infrastructures for Big Data
  • Big Data Management and Frameworks
  • Big Data Search
  • Big Data security
  • Big Data Applications
  • Data Mining & Machine learning Tasks
  • Machine Learning Applications
  • Learning in knowledge-intensive systems
  • Learning Methods and analysis
  • Learning Problems

  • Deep Learning
  • Knowledge Processing
  • Data and Knowledge Representation
  • Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
  • Integration of Data Warehousing
  • OLAP and Data Mining
  • Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge
  • Integrating Constraints and Knowledge in the KDD Process
  • Exploring Data Analysis
  • 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

Paper Submission

Authors are invited to submit papers through the conference Submission System by September 28, 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 Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Important Dates

Submission Deadline

September 28, 2024

Authors Notification

October 26, 2024

Registration & camera - Ready Paper Due

November 02, 2024

Proceedings

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

Sponsors





Speakers


Venkata Duvvuri
Northeastern University
United States of America

Kenta Kawai
Nagoya University
Japan