DSML

Welcome to DSML 2021

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

October 23 ~ 24, 2021, Sydney, Australia

Scope

2^nd 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

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

Call for Papers

2^nd 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 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 DSML 2021, after further revisions, will be published in the special issue of the following journal.