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

DSML 2020

URL: https://csen2020.org/dsml/index.html
Event Date: 2020-10-24 ~ 2020-10-25
Submission Date: 2020-10-11
Organizer: DSML 2020
Location: Dubai, United Arab Emirates

Data Mining & Analysis Databases & Information Systems Bioinformatics & Computational Biology Software Systems

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 October 11, 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).