3rd International Conference on Data Science and Machin Learning (DSML 2022)


September 17~18, 2022, Copenhagen, Denmark

Scope Call for Participation Program Schedule


3rd International Conference on Data Science and Machine Learning (DSML 2022) 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


3rd International Conference on Data Science and Machine Learning (DSML 2022) 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 the areas of Computer Science & Engineering.

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

  • 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

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).

Invited Talk

Jelena Vasiljević

Union University, Serbia

Proceedings

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

Speakers

Pinar Yildirim

Istanbul Okan University, Turkey

Shin-Hwan Kim

Korea Telecom, South Korea

Masoumeh Mohammadi

Telewebion, Iran

Rita Hijazi

Aix-Marseille University, France

Qinqin Guo

Coding Minds Academy, China

Mohamed Azouz Mrad

Budapest University Of Technology And Economics, Hungary

Calvin Huang

USA

Radhwan Adnan Dakhil

University of Kerbala, Iraq

Tianyu Li

St. George’s School, Canada

Xuanxi Kuang

USA

Wei Shi

Carleton University, Canada

Guilherme WachsLopes

Centro Universitario da FEI, Brazil

Saranyanath K P

Carleton University,

Canada

Xingyu Zheng

Nanjing University of Aeronautics and Astronautics, China

Lemlem Kassa

University of Electronic Science and Technology China (UESTC), Ethiopia

Mikołaj Płachta

Warsaw University of Technology, Poland

Sponsers