4 th International Conference on Data Science and Machine Learning (dsml 2023)

Out
28

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Vienna, Austria

Vienna Street, Austrian District, Gyumri, Armenia Mapa

4 th International Conference on Data Science and Machine Learning (DSML 2023)
October 28 ~ 29, 2023, Vienna, Austria
https://www.csen2023.org/dsml/index
Scope &Topics
4th International Conference on Data Science and Machine Learning (DSML 2023) 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 Computer Networks & Communications.
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 Modelling
 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 Task
 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, Predic

Kyle Minah
Organizador:
 Kyle Minah