Welcome to DSML 2021

2nd International Conference on Data Science and Machine Learning (DSML 2021)

October 23 ~ 24, 2021, Sydney, Australia

Program Committee

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Accepted Papers

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Venue

Sydney, Australia

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Scope

2nd International Conference on Data Science and Machine Learning (DSML 2021) 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.



Call for Papers


2nd International Conference on Data Science and Machine Learning (DSML 2021) 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.


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 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, ClusteringCryptography and Information security
  • 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
  • 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

Paper Submission

Authors are invited to submit papers through the conference Submission System by March 06, 2021. 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

March 06, 2021

Authors Notification

April 06, 2021

Registration & camera - Ready Paper Due

April 14, 2021

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



Sponsors