International Conference on Data Science and Machine Learning (DSML 2020)
October 24 ~ 25, 2020, Dubai, UAE
https://csen2020.org/dsml/index.html
Scope & Topics
International Conference on Data Science and Machine Learning (DSML 2020) 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 foundations
 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, Clustering
 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 August
30, 2020. 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 2020, after further revisions, will be published in the special
issue of the following journals.
 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: August 30, 2020
 Authors Notification: September 30, 2020
 Registration & Camera-Ready Paper Due: October 08, 2020
Contact Us
Here's where you can reach us: dsml@csen2020.org (or) dsmlconference@yahoo.com
For more details, please visit: https://csen2020.org/dsml/index.html
Paper Submission Link: https://csen2020.org/submission/index.php

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International Conference on Data Science and Machine Learning (DSML 2020)

  • 1. International Conference on Data Science and Machine Learning (DSML 2020) October 24 ~ 25, 2020, Dubai, UAE https://csen2020.org/dsml/index.html Scope & Topics International Conference on Data Science and Machine Learning (DSML 2020) 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 foundations  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, Clustering  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
  • 2.  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 August 30, 2020. 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 2020, after further revisions, will be published in the special issue of the following journals.  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: August 30, 2020  Authors Notification: September 30, 2020  Registration & Camera-Ready Paper Due: October 08, 2020 Contact Us Here's where you can reach us: [email protected] (or) [email protected] For more details, please visit: https://csen2020.org/dsml/index.html Paper Submission Link: https://csen2020.org/submission/index.php