Data-driven Discovery of Models (D3M)

Call for Papers

Held in conjunction with the
IEEE International Conference on Data Mining (ICDM)
New Orleans, Louisiana, USA, 18 November 2017


This workshop is about data-driven approaches to model discovery. These approaches aim at developing systems that enable users with subject matter expertise but no data science background to create empirical models of real, complex processes. As a result, 1) subject matter experts are empowered to create empirical models without the need for data scientists, and 2) expert data scientists experience increased productivity through automation.

Call for Papers

Contributions describing work in progress as well as position papers are invited. All contributions must focus on data-driven approaches to the design and deployment of ML/DM models. Of particular interest are methods and proposals that address the following issues: Presentations of beta versions of tools for automated or guided use of methods or algorithms with respect to performance or run stability are also welcome.

Papers must be formatted and written according to the Submission Guidelines on the ICDM 2017 conference web site.

Papers must be submitted electronically via CyberChair.

Submitted papers will be reviewed by at least two independent referees from the Program Committee.

Important Dates

Organization

Co-chairs

Please direct questions to Christophe Giraud-Carrier

Program Committee