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INFORMS Workshop on Data Mining & Decision Analytics

Sponsored by INFORMS Data Mining Section
Sponsored by INFORMS Data Mining Section
Saturday, November 7

Call for Papers

The Data Mining Section of INFORMS is organizing the 15th INFORMS Workshop on Data Mining and Decision Analytics in conjunction with the 2020 INFORMS Annual Meeting. You are cordially invited to join us and share your recent research work with peers from data mining, decision, analytics, and artificial intelligence.

To participate, a full paper should be submitted before the deadline for consideration. The workshop committee also announce the best paper competition in both theoretical and applied research tracks. All submitted papers are automatically considered for the best paper competition in the chosen track.

Topics of interest include, but are not limited to:

  • Large-Scale Data Analytics and Big Data
  • Data-Driven Decision-Making
  • Interpretable Data Mining
  • Simulation/Optimization in Data Analytics
  • Network Analysis and Graph Mining
  • Privacy & Fairness in Data Science
  • Bayesian Data Analytics
  • Healthcare Analytics
  • Longitudinal Data Analysis
  • Causal Mining (Inference)
  • Anomaly Detection
  • Deep Learning
  • Emerging Data Analytics in Industrial Applications
  • Analytics in Social Media & Finance
  • Reliability & Maintenance
  • Visual Analytics
  • Web Analytics/Web Mining
  • Text Mining & Natural Language Processing
  • Ethics and Security in Data Mining
  • Fairness in Machine Learning


May 1: Paper submission begin            

September 1: Paper submission close

September 1: Final review decision

September 14: Workshop on Data Mining and Decision Analytics registration deadline
If speakers are not registered by Monday, September 14, the speaker will be notified that the presentation will be removed from the Workshop on Data Mining and Decision Analytics program and from the best paper competition.

Papers Submission Guideline

  • Maximum of 10 pages (including abstract, tables, figures, and references)
  • Single-spacing and 11-point font with one-inch margins on four sides
  • Papers must be submitted via the link or to the following email: before the deadline. Late submission will not be considered for further review.
  • Copyright: The DM workshop will not retain the copyrights on the papers; so, the authors are free to submit their papers to other outlets. The papers will not be posted online. 

All Data Mining Workshop participants are required to register for the 2020 INFORMS Annual Meeting.

DM Workshop Co-Chairs

Chun-An (Joe) Chou, Northeastern University
Eyyub Kibis, The College of Saint Rose
Chen Kan, University of Texas at Arlington

DM Workshop Management Committee 

George Runger, Arizona State University
Cynthia Rudin, Duke University
Paul Brooks, Virginia Commonwealth University
Onur Seref, Virginia Tech
Asil Oztekin, University of Massachusetts Lowell
Matthew Lanham, Purdue University
Ramin Moghaddass, University of Miami