EDaS

The field of data science focuses on building reliable, and efficient predictive models from a large dataset. On the other hand, evolutionary computation is appropriate for automatic processing of large-scale data for optimal parameter tuning and to extract significant knowledge that is hidden in the data. The combination of both is a research attraction for engineering and computer scientists. The motivation of organizing this special session at the 2021 IEEE Congress on Evolutionary Computation is to integrate the most recent research ideas of data science and evolutionary computation. The session seeks to promote the discussion and presentation of novel works related with (but not limited to) the following issues:

• Novel theoretical data science methods of evolutionary computation
• Modelling and optimization of processes using data mining
• Action rule mining using evolutionary data science
• Pre-processing and data analysis using evolutionary computation
• Address uncertainty in data mining using evolutionary computation
• Memetic algorithms in data science
• Parameter setting (tuning and control) in constrained optimization
• Mixed (discrete-continuous) variable handling using evolutionary data science
• Theoretical analysis and complexity of algorithms in evolutionary data science
• Time series based evolutionary data science
• Soft computing for data mining
• Evolutionary computation techniques for live streaming data
• Distributed computing in evolutionary data science
• Engineering and scientific applications

Paper Format and Submission

• Please submit a full-length paper (6 to 8 pages) through the online submission system.
  
• 2 extra pages is allowed (i.e, up to 10 pages), at an additional charge of 100 USD (380 PLN) per extra page.
• Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see Formatting Instructions below).
  

Formatting Instructions

• Full instructions can be seen:
• Conference Instructions
• IEEE Template PageF
• Templates
• 8.5" x 11" Word doc
• LaTeX Template
• LaTeX Bibliography Files

Important Dates

Session Chairs

• Rituparna Datta, School of Computing, University of South Alabama
• Michal Witold Przewozniczek, Department of Computational Intelligence, Wroclaw University of Science and Technology
• Aviv Segev, School of Computing, University of South Alabama
• Ryan Benton, School of Computing, University of South Alabama

Program Committee

• Forthcoming