International Conference on Data Science and Machine Learning DSML on October 28-29, 2023 in Vienna, Austria

4th 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, 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 09, 2023. 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 2023, after further revisions, will be published in the special issue of the following journal.

• International Journal of Database Management Systems (IJDMS)

• International Journal of Data Mining & Knowledge Management Process (IJDKP)

• Machine Learning and Applications: An International Journal (MLAIJ)

• International Journal of Web & Semantic Technology (IJWesT)

Important Dates

• Submission Deadline : September 09, 2023

• Authors Notification : October 10, 2023

• Registration & Camera-Ready Paper Due : October 15, 2023

Contact Us

Here's where you can reach us : [email protected] (or) [email protected]

 

Name: 4th International Conference on Data Science and Machine Learning (DSML 2023)
Website: https://www.csen2023.org/dsml/index

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.